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Clients rate Data Scientists
Rating is 4.8 out of 5.
4.8/5
based on 6,962 client reviews
  • $68 hourly
    I am an experienced data scientist who has worked in Bioinformatics and Business analytics. I build automated trading strategies in my spare time. I've been programming in R daily for over 15 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in R and Shiny. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Thereby making me an excellent data miner, and knowing how to transform that data efficiently.
    Featured Skill Data Science
    Data Analysis
    R Shiny
    API
    Forex Trading
    Statistics
    Analytics
    Bioinformatics
    Quantitative Analysis
    Data Scraping
    Plotly
    Machine Learning
    Data Visualization
    R
  • $115 hourly
    I'm an experienced data scientist specializing in data analysis and AI-based solutions. I excel in solving complex business challenges through tailored solutions and expert consultation. I'm skilled in advanced math (academic level), AI agents, and data visualization (Looker Studio), which can be a stand-alone consultation or a nice bonus to your project! "Greg knows LLM tools like langchain *really* well. He understood a genuinely tough problem and helped me solve it super fast. Highly recommended!" "Grzegorz Wiktorowicz, is a great financial developer...he understands the problem very quick and and dig that problem in minute manner and sloves it...hoping to catch with him in future projects .thanku" "Thank you very much sir for the super fast and extremely professional algorithm and program creation. I am super happy that we have met and I definetely would like to work together in many many more projects together." "Very professional and quick! Extremally detailed response and provided with ways to improve our business as an extra! We will for sure hire again! Thanks again" With over a decade of experience, I've successfully addressed a wide range of business issues, including internet casinos, sports betting, logistic optimization, and stock trading, among others. Employing detailed analysis and strategic resource planning, I've consistently delivered results that meet or exceed client expectations. Proficient in Python, C, and SQL, I hold cloud-native certifications as a Google Cloud ML Engineer and Data Engineer. Beyond task execution, I possess a deep understanding of methodologies, their strengths, and limitations. My background as a former scientist uniquely positions me to ensure your projects align with best practices and achieve your objectives. My adaptability and extensive knowledge make me an ideal partner for your data science needs. Whether you require data-driven solutions, want to discuss your project's unique demands, or need guidance on best practices, please don't hesitate to reach out. Initial consultations are free, and I'm eager to collaborate with you to achieve your goals. EXPERTISE: - data science and analytics - data engineering and management - Machine learning and AI - Quant trading - Data visualization and storytelling - Cloud engineering SKILLS: Python (full data stack, incl. Pandas, SciPy, Scikit-Learn, jupyter, plotly) Time Series Analysis/Forecasting (financial, trading, observations, predictions) Data visualisation - Looker Studio Masterclass certification GCP (BigQuery, Storage strategies, ETL, ML, migration, efficiency and cost reduction) - Google Cloud Professional Data Engineer certification - Google Cloud Machine Learning Engineer certification LLM (langchain, pinecone, llama.cpp, transformers, OpenAI, chatGPT) Git, docker, MATLAB, slurm, bash, linux, SQL (GoogleSQL, Postgres, MySQL) Statistics (academic level, incl. data analysis and modelling, Monte Carlo, bootstrapping, hypothesis testing) >> Drop me a massage so we can analyze your needs together (it's free!)
    Featured Skill Data Science
    Mathematics
    BigQuery
    LangChain
    LLM Prompt Engineering
    Quantitative Analysis
    Statistics
    Google Cloud Platform
    Data Analysis
    Optimization Modeling
    Astrophysics
    ChatGPT
    Time Series Analysis
    Machine Learning
    MATLAB
    Python
  • $60 hourly
    I am a freelance statistical consultant/data analyst and an educational psychologist (Ph.D) with a foundation in statistics and data analysis. I have 8+ years of experience in research/data analytics, social and behavioral science research, and teaching college students (both at the undergraduate and graduate level). I am fluent in numerous statistical analysis programs such as SPSS, R/Rstudio, and JASP. I enjoy conducting quantitative analysis and problem-solving. Please feel to contact me with all your research and data analysis inquiries. Educational and Research Background: I am currently an educational psychology Ph.D. Student. I have both my master's degree and a bachelor's degree in psychology. I have conducted numerous research projects revolving around the identity formation of emerging adults' college students. I have a year's worth of experience as a research analyst intern where I conducted data analysis for numerous population health-based projects which topics included: resident burnout, dystocia, ventilation survivability, clinician bullying preparedness, the hospital-based prevalence for medical cases (i.e. domestic violence, lead poisoning, immunization records, and child abuse) and medical cases NYC GIS mapping (i.e. lead poison, eating disorders, domestic violence, etc.). My master thesis examined the differences in vocational identity and coping strategies among emerging adults in college by their current employment status and work experiences. Main Services Includes (but not limited): Statistical Analysis Creating Data Visualization Graphs & Tables for Statistical Results Writing APA-Style Statistical Reports Writing General Summary for Statistical Results Creating PowerPoint Presentations for Statistical Results Statistical Programs/Software Skills: SPSS R/RStudio JASP Jamovi GPower Excel Statistical Analysis Skills Include: Descriptive Statistics Data Visualization (Univariate, Bivariate, and Multivariate Visualizations) Data Cleaning/Feature Engineering Missing Data Imputation Correlation Analysis Linear Regression Models Bayesian Inference Generalized Linear Models (i.e., Logistic, Poisson, Ordinal. etc.) Regularized Regression Models (Ridge, Lasso, &E Elastic Net) Moderation and Mediation Analysis t-test Analysis ANOVA Models (ANOVA/ANCOVA/MANOVA) Linear Discriminant Analysis Multilevel Modeling/Hierarchical Linear Modeling Generalized Multilevel Modeling/Generalized Hierarchical Linear Modeling Factor Analysis (Exploratory and Confirmatory) Path Analysis and Structural Equation Modeling Non-Parametric Analysis Power Analysis Robust Statistics Survival Analysis & Cox Regression Meta-Analysis & Meta-Regression Modeling Ecological Inference Time Series Analysis (ARIMA, SARIMA, VARIMAX) ITEM Response Theory Supervised Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees, etc.) Unsupervised Machine Learning Algorithms (Kmeans, K nearest Neighbors, Apiori etc.) Other Skills: Advanced in Microsoft Office Programs (i.e. Word, Excel, PowerPoint) Proficient with Python Programming language Proficient with online survey distribution programs such as Qualtrics, Survey Monkey, Google Survey, and REDCap Proficient with digital movie maker programs such as Windows Movie Maker and I-Movie
    Featured Skill Data Science
    Data Analysis
    Statistical Analysis
    Statistics
    Tutoring
    Quantitative Analysis
    Hypothesis Testing
    R
    Logistic Regression
    Data Visualization
    Machine Learning
    IBM SPSS
    Linear Regression
  • $75 hourly
    Hi! I am a Data Scientist (M.S. Operations Research) with 9+ years of experience developing data-centric solutions that create business value. From python to excel, user facing web applications to backend data collection and cleaning, I have experience across the data science spectrum: • Data Collection (API, Web Scraping, Document Parsing) • Data Manipulation (JSON, HTML, XML, Excel, CSV) • Data Visualization (Static and Interactive) • Modeling (Inference and Prediction) • Automation • Dashboard Design (Shiny, Excel) I have previously developed solutions using Python, R, SQL, VBA, Excel, and Linux. Most of all, I am passionate about using data to solve problems and improve processes.
    Featured Skill Data Science
    Quantitative Analysis
    Data Analysis
    R Shiny
    Data Scraping
    Spreadsheet Software
    Machine Learning
    ETL
    Linear Regression
    Data Visualization
    Dashboard
    SQL
    Python
    Microsoft Excel
    R
  • $100 hourly
    I hold a BS in Physics from the University of Colorado and a Master's equivalent in computer science and physics with an emphasis in data science. I have expertise in numerical analysis, modeling, and machine learning. I have a diverse mathematical and programming skillset and specialize in Python, Julia and Mathematica development. I can build complex applications in a broad range of domains based on my experience and learning methodology. My strengths are in problem-solving, analysis, and communication.
    Featured Skill Data Science
    API Development
    Financial Modeling
    Mathematical Modeling
    Database Design
    Mathematica
    Artificial Intelligence
    Physics
    Julia
    Data Extraction
    Forecasting
    Algorithm Development
    Machine Learning
    Statistical Analysis
    Python
  • $120 hourly
    start.daviddoesdata.com. Expert-vetted GA/GTM pro who can audit/augment your tracking—with experience in tons of other technologies/platforms. I will find the signal in the noise of your data! Check out my intro video for a short overview of my services, or my website, start.daviddoesdata.com. List of specialties: * Auditing/Fixing your analytics implementation (Google Analytics, GTM, FB Pixel, others) * Enhancing your current tracking to capture more key user interactions * Visualizing your data in dashboard/BI tools like Google Data Studio * Quantitative analysis & statistical modeling * Automation/Data pipelining * A/B testing strategy, implementation & analysis
    Featured Skill Data Science
    Analytics
    R
    Quantitative Analysis
    Python
    Statistics
    Looker Studio
    SQL
    A/B Testing
    Google Tag Manager
    Google Analytics
  • $25 hourly
    I am a broad-minded Machine Learning Engineer with more than 5 years of development experience with various machine learning projects including Computer Vision, Deep Learning, Reinforcement Learning. I have over 10 years of university teaching experience in machine learning and neural networks, so I implement systematic and methodological approaches. I have successfully accomplished more than 100 projects in such industries as scientific research, meteorologic centers, industries, smart houses, and modeling. I have cooperated with companies, startups, and personal clients from around the world. Most of the tasks I solved were primarily of scientific value and required a quick orientation and immersion in the peculiarities of scientific direction. I am always focused on the maximum result for the customer. Please see some of my cases and my client's feedback: ♦️ Participation in the development of a human thermal image recognition system as part of the smart house project. ♦️ Meteorological project - forecasting system development of precipitation based on space images and Eumetsat data. 🎯 When approaching a project, I always follow two basic rules - responsibility and scrupulous accuracy. Your project will be completed on time and will meet the highest standards. I am responsible, respond to the messages promptly, and I am available to discuss the project as soon as possible. I will be glad to provide the following services (including, but not limited to): 🔹 Selecting appropriate data sets 🔹 Picking appropriate data representation methods 🔹 Identifying differences in data distribution that affects model performance 🔹 Verifying data quality 🔹 Transforming and converting data science prototypes 🔹 Performing statistical analysis 🔹 Designing ML systems 🔹 Researching and implementing ML algorithms and tools 🔹 Running machine learning tests 🔹 Using results to improve models 🔹 Training and retraining systems when needed 🔹 Developing machine learning apps according to client requirements 🔹 Artificial intelligence Machine Learning Skills: - Сoding Skills in Python (Scripting, PyCharm, Jupyter, Google Colab) - Python Data Analytics Libraries (Scikit-Learn, Pandas, NumPy, SciPy) - Python Data Visualization Libraries (Matplotlib, Seaborn, Bokeh) - Deep learning libraries and toolboxes (TensorFlow, Keras, PyTorch) Additional Skills: - Experience with Data scraping tasks and libraries - Strong math background - Experience with Google Cloud Engine - Google Script advanced user - *nix systems advanced user 🤝 Let's start working on your project right now! Contact me to discuss details.
    Featured Skill Data Science
    Data Analysis
    Statistics
    Data Mining
    Data Analytics
    Google Sheets
    Data Visualization
    Business Intelligence
    Machine Learning
    Computer Vision
    Reinforcement Learning
    PyTorch
    Deep Learning
    TensorFlow
    Python
  • $150 hourly
    Generating a lot of data but not making sense of it? Overwhelmed by the latest trends in Data Engineering and Artificial Intelligence? Need someone who can speak in business terms while also having strong technical expertise? I've been working with Upwork since 2016, and am proudly part of the top 1% (Expert-Vetted) program. I've built the information structure of several companies across the globe in Marketing, Financials, E-commerce, and Agribusiness - regardless of their size. I've worked for 1000+ employees companies and small shops accordingly. I usually report directly to the CEO as CTO/CIO, to the C-level as data lead, or can also act as a team player - brain for hire for bigger teams. I like all kinds of challenges. What I can do: - Take your raw data, process and present it in a meaningful and reproducible way. My goal is to keep you aware of what's happening (in plain language, if you're a non-tech person) and to work together with your team (if you already have a tech structure) on every step of the process - from data extraction to final presentation. - Create (or advise you on how to build) new interfaces to update your existing systems with insights and KPIs derived from Business Intelligence and AI projects. - Suggest the best course of action and best practices for your situation. No matter your size. - Audit your existing information structure and point you to new possible revenue sources or cost reductions. If that resonates with what you need, get in touch. I'm always happy to help. For those techs out there, I usually work with: - R - Python - QlikView / QlikSense / QlikCloud - PowerBI - Tableau, But I've also worked with Klipfolio, Chart.io, and many other tools. I've developed interfaces and APIs for - OpenAI (ChatGPT) - Ai-Pro (Claude) - Google Analytics - SAP R/3 and HANA - Unleashed Software - Monday.com - ZOHO CRM and Campaigns - InfusionSoft - ActiveCampaign - GIS tools (ArcGIS, QGIS, PostGIS). What I also do: - Snowflake, Amazon & Azure datawarehousing - SQL querying and tuning (MySQL/MS SQL Server/PostgreSQL) - Big Data processing - Forecasting models - Marketing effectiveness analysis
    Featured Skill Data Science
    Statistics
    GIS Software
    Data Analytics & Visualization Software
    Management Consulting
    Microsoft Power BI
    ETL
    IT Management
    API Development
    Database Modeling
    Software Development
    SQL Programming
    Data Analysis
    Marketing Automation
    Data Warehousing
  • $125 hourly
    You need a data scientist but finding the right one for your project can be laborious. What makes me trustworthy: 🔸15 years experience as a senior data scientist 🔸Strong work ethics 🔸Various industry experience (media measurement, banking sector, retail loyalty program (B2C), distribution and logistics (B2B), early stage startup) 🔸PhD in Physics 🔸High Performance Computing background 🔸Expertise in predictive analytics using supervised machine learning algorithms (regression and classification models) and prescriptive models (mixed-integer optimization, non-linear optimization, pricing models, procurement planning). 🔸Open Source solutions using Python, PySpark and Jupyter notebooks , Scikit Learn, Numpy ... consuming data from SQL databases or binary files (hdf5, netcdf ... ) or flat files (csv, txt ...) I'd like to learn more about your project and better understand your needs. Please reach out with your availability, and we can coordinate a Zoom meeting to discuss further. Examples of deliverable: 🔸One of my customers faced the challenge of optimizing its procurement strategy to maximize savings while managing stock levels. The company sources products from multiple suppliers, each offering various price breaks and conditions for free shipping based on minimum order quantities. Using mixed integer programming (MIP), we aimed to determine the optimal order quantities from each supplier that not only satisfy inventory requirements but also minimize overall purchasing costs. This MIP model involves defining decision variables for the quantity ordered from each supplier, constraints to maintain stock levels within specific limits, and an objective function that minimizes the total cost, including adjustments for suppliers' discounts and shipping costs. By implementing this solution, my customer saves thousands of dollars each week by optimizing their purchases. 🔸Designing and building custom forecast models for planning future demand and aligning resources accordingly. These models leverage advanced analytics to predict demand patterns accurately, enabling efficient resource allocation. From sales forecasting to inventory management, customized models empower businesses to stay agile and responsive to market fluctuations, ensuring optimal operational efficiency and customer satisfaction. 🔸Developed propensity models in Jupyter notebooks to predict lead conversion likelihood, enabling prioritization of leads that align with business objectives and optimize ROI. The models were seamlessly integrated into production on a SQL server. 🔸Created a price simulation tool to estimate the impact of various input parameters on profitability, accounting for non-linear effects such as churn rate based on margin and marketing cost to expand the customer base. 🔸 Implemented price optimization models to maximize revenue or profit, collaborating closely with sales and marketing teams to align with business objectives and revenue management rules. 🔸 Designed a customized optimization process to find the value of the parameters maximizing a business outcome within constraints. 🔸Generated synthetic tabular data using Generative Adversarial Networks (GANs) with the ctgan library. Designed a custom cost function to produce synthetic records that adhere to specific criteria, including distribution functions and goal metrics.
    Featured Skill Data Science
    Generative Adversarial Network
    Price Optimization
    Pricing Research
    Pricing
    Statistics
    PySpark
    Operations Research
    Jupyter Notebook
    Predictive Analytics
    Python Scikit-Learn
    Machine Learning
    Python
    pandas
  • $120 hourly
    I am a data scientist and a problem-solver. I am expert in using R and Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built multiple accurate models both professionally and academically. Recently, I developed a cutting edge machine learning model for image processing. My goal is to revolutionize your business. I believe that machine learning and automation is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.
    Featured Skill Data Science
    Data Mining
    Exploratory Data Analysis
    Predictive Analytics
    Data Analysis
    Text Analytics
    Statistical Analysis
    Data Cleaning
    Tableau
    Python
    Machine Learning
    R
    Computer Vision
    Data Science Consultation
  • $60 hourly
    I hold a PhD in Quantitative Psychology from the University of Virginia (UVA) and a B.S. in Psychology with minors in both Mathematical Science and Statistics from the University of North Florida (UNF). I have worked as a member of the OpenMx structural equation modeling software development team, partnered with the World Health Organization on modeling global healthy aging between countries, and have spent the last few years working at an NSF funded AI Institute at the university of Colorado Boulder.. I have 15+ years of experience with statistical analysis and mathematical modeling, differential equation solving, structural equation modeling, factor analysis, machine learning, data visualization, R, SPSS, and other areas of applied mathematics.
    Featured Skill Data Science
    Statistical Analysis
    Quantitative Analysis
    Academic Research
    Survey Design
    Regression Testing
    Statistical Computing
    Statistics
    Machine Learning
    Mathematical Modeling
    Quantitative Research
    Linear Regression
    R
  • $65 hourly
    ★ Expert-Vetted (top 1% of talent on Upwork) ★ Are you looking for someone with expertise in using ChatGPT and prompt design engineering? I can help with creating the right prompts for you purpose, developing custom GPTs, fine tunning, API scripting, and developing approaches to tapping the benefits from the use of ChatGPT. Ping me for a chat. 👋 Hello there, Glad to make your acquaintance. I am a Python developer with a passion for data science and a focus on the study and analysis of data to uncover hidden insights. I have a proven engineering and professional business background expertise in data processing, data mining, data analysis, and data visualization. I am a TensorFlow certified machine learning developer and can help with your investigation and needs in this area. Do reach out to me to start a conversation on how we can leverage the power of machine learning and artificial intelligence to achieve quantifiable business improvements. List of areas I can help: ★ ChatGPT prompt design, prompt engineering, fine-tuning ★ Python coding/scripting/web scraping ★ Raspberry PI and Arduino projects ★ Data Mining, Data Analysis, Data Modeling, Data Visualization, ETL ★ Time Series Analysis, Computer Vision, Natural Language Processing, Deep Learning ★ ML Project Plan Setup ★ ML Data Collection and Preparation ★ ML Model Exploration ★ ML Model Tuning and Refinement ★ ML Test and Evaluate ★ Assits with crafting a compelling business case and narrative grounded solidly on data
    Featured Skill Data Science
    Data Analysis
    Algorithm Development
    Data Modeling
    Data Extraction
    OCR Algorithm
    Time Series Analysis
    Machine Learning
    Data Mining
    Data Entry
    Data Scraping
    TensorFlow
    Python
    Computer Vision
  • $35 hourly
    Statistician with a large amount of experience in R and a small amount in SQL/Python. Good with graphics, GLMM's, Bayesian modeling, GBM's, bootstrapping, predictive and explanatory modeling. Trying to create a startup and doing this for (the other kind of) bootstrapping purposes.
    Featured Skill Data Science
    Statistical Infographic
    Modeling
    R
    Statistics
  • $75 hourly
    You need to write a paper? The deadline is soon? There is statistics involved, and you just don't like that stuff? You don't have time or the nerves to do it? You wrote it but now it doesn't look like it should? And what's with the pesky rules about referencing? I'm here to help. With 6 years of experience in academic writing and a Master's degree in research psychology, I can make your paper shine! What you can expect from me: Detailed, error-free papers - either edited or written from scratch Correct referencing and formatting (APA, MLA, etc.) Professional style and great flow Statistical analyses conducted via SPSS, STATA, Jamovi, or R (t-test, chi square, regression, ANOVA, EFA, CFA and anything else you might need) Respect for deadlines Great, constant communication So look no further! Send me that job and let's see what we can do about it.
    Featured Skill Data Science
    Writing
    Statistics
    Stata
    R
    Academic Writing
    Fact-Checking
    APA Formatting
    Data Analysis
    Scientific Writing
    Qualitative Research
    Quantitative Research
    Microsoft Excel
    Academic Proofreading
    Academic Editing
    Survey Design
  • $35 hourly
    I am a data scientist who developed different end-to-end data solutions for the Internet Of Things. I have the tools to develop your IoT, time series or data science projects. I focus on providing clean and reusable code that becomes an asset to your solution. Skills ------ * Professional developer for data science in R, Python * Expertise in time series: forecasting, classification, anomaly detection * Methodology for data science project: from data preparation to experiment * Focus on your KPI * Clear communication, present technical results simply Work experience -------------------- I have four years of industry experience in data science. At the energy research institute in Singapore, during three years. I have developed analytics for a smart building management system that was installed on 30+ industrial and academic buildings. My work in forecasting accuracy and optimization had a significant impact on the operational costs. As a freelance for more than a year, I have developed for SunCulture a credit scoring algorithm for farmers. The algorithms implemented considerably reduce the risk of credit lending. Education ------------ I have a master in statistics and machine learning from Telecom SudParis a selective French engineering school. This master included rigorous mathematics, statistics and probabilities courses. A good background in statistics is needed to convert data to sensible interpretations and actions.
    Featured Skill Data Science
    Digital Signal Processing
    Internet of Things
    SQL
    Time Series Analysis
    Python
    R
    TensorFlow
    Deep Learning
    Statistics
    Machine Learning
  • $60 hourly
    I am a data scientist with 10 years of experience. I hold a BSc in Economics and a MSc in Data Mining both from the University of Buenos Aires. Upwork Badges: Expert-Vetted and Top-Rated Plus - Top 1% in the platform Below are some of the common task I'm consulted with: - SFT esperience with LLMs such as Mistral 7b, Mixtral MoE, Llama2 models, T5, - Prompt engineering with openai models (GPT-3.5, GPT-4) and open source models (Mixtral ). - Deep learning for NLP - Exploratory data analysis, Statistics, Data Visualization - Machine learning for Marketing use cases - Time series forecasting - Quantitative Finance - Machine learning for finance/trading - Applied Statistics Programming Languages - 10 years of experience - Python: keras, tensorflow, pytorch, huggingface, numpy, scikit-learn, pandas, opencv, spacy, openai, langchain, transformers, sentence-transformers - SQL - R New clients often hire me for one project that helps them get to know how I work, this is normally the start of a long term work relation. Expect integrity, fluid communication in English, technical proficiency and long term support.
    Featured Skill Data Science
    ggplot2
    Data Analytics
    A/B Testing
    Exploratory Data Analysis
    Data Analysis
    Statistics
    Predictive Analytics
    Python
    R
    pandas
    Bayesian Statistics
    Data Science Consultation
    Deep Learning
    Machine Learning
  • $80 hourly
    Hello! I am a multifaceted professional in the realm of quantitative development, algorithmic trading, and data engineering, based in Chicago. I hold a Master's degree in Financial Engineering from the University of Illinois and have honed my skills across various technical domains including Python, R, SQL, Java, and Linux OS. I excel in setting up and managing complex data workflows, particularly in Linux environments, and I'm adept at creating efficient ETL pipelines that facilitate seamless data integration and transformation. Here’s what I bring to the table: • Quantitative Development & Algorithmic Trading: Designing and implementing advanced trading algorithms that improve decision-making and market performance. • Data Engineering: Architecting and managing ETL pipelines, ensuring data accuracy and availability for real-time analytics. • Linux OS Expertise: Optimizing operating systems for high-performance computing and secure data operations. • Machine Learning & Financial Modeling: Utilizing statistical models to predict market trends and enhance trading strategies. As a top-performing freelancer on UpWork, recognized within the top 3% and awarded the "Top-Rated Plus" badge, I am committed to delivering exceptional value and precision in every project. Whether you need expert advice on setting up your trading systems, managing your data infrastructure, or developing predictive models, I am ready to help you achieve your objectives with cutting-edge solutions. Check out my work on Github: Github.com/chicago-joe
    Featured Skill Data Science
    Trading Automation
    ETL Pipeline
    API
    MySQL
    Quantitative Analysis
    Data Modeling
    Quantitative Finance
    Data Visualization
    R
    Machine Learning
    Python
    Data Analysis
  • $145 hourly
    I offer excellent data analysis and visualization using R or Python. Furthermore, i will conduct your Machine-Learning project. That can include data cleaning, manipulation, feature engineering, evaluation and deployment of machine-learning-models (also Deep Learning), and explaining of black box models. Need help with statistics in your studies? I provide you with well-explained input. Need help with your R-code? I will debug your script and/or give a code review. ✔️ more than 60.000 lines of R-code experience ✔️ R-package development, R-shiny, and R-markdown experience ✔️ SQL and Python coding ✔️ Theoretical and practical understanding of machine learning algorithmics ✔️ Master of Science Statistics with focus on Data Science ✔️ Finished 9th in Data Mining Cup 2017 out of 202 Teams Feel free to contact me anytime, I am curious to hear about your challenges. I am looking forward to working with you!
    Featured Skill Data Science
    Code Review
    Data Analysis
    PostgreSQL
    Software Debugging
    ggplot2
    Time Series Analysis
    Machine Learning
    XGBoost
    R
    Random Forest
    Python
    Convolutional Neural Network
    Artificial Neural Network
  • $80 hourly
    𝗦𝗛𝗢𝗥𝗧 𝗕𝗜𝗢 I am an economist with a wealth of experience in consulting, spanning over 15 years in the field of Economics and Financial Analysis. I combine technical expertise in quantitative tools and and consultant's eye and capacity for communicating findings to non-technical audiences. My expertise has been leveraged by a diverse range of clients, including multilateral organizations, public and private corporations, as well as state-owned enterprises. I am also an experienced tutor in everything related to Economics, having helped dozens of students from several countries. 𝗖𝗢𝗡𝗦𝗨𝗟𝗧𝗜𝗡𝗚 𝗖𝗔𝗥𝗘𝗘𝗥 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 ✅ Financial and economic modeling, coupled with the valuation of investment projects, accounting for cumulative capital and operational expenditures exceeding $4.5 billion. ✅ Viability analysis of investment projects. ✅ Proficiency in conducting economic analyses of privatization endeavors and facilitating the development of public-private partnerships. ✅ A proven track record in various forecasting methodologies. ✅ Robust demand estimation and market sizing skills. ✅ A history of offering uniquely-tailored solutions to the clients needs. ⭐⭐⭐⭐⭐ Top Rated on Upwork 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗬 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 🎯 Retail & Wholesale 🎯 Tech 🎯 Finance 🎯 Water & Sanitation 🎯 Healthcare 🎯 Transportation & Logistics 🎯 Real Estate 🎯 Business Services 🎯 Arts 🎯Construction Supplies 🎯Street Lighting 🎯Education 𝗪𝗛𝗬 𝗬𝗢𝗨 𝗦𝗛𝗢𝗨𝗟𝗗 𝗛𝗜𝗥𝗘 𝗠𝗘 𝗜𝗡𝗦𝗧𝗘𝗔𝗗 𝗢𝗙 𝗔𝗡𝗢𝗧𝗛𝗘𝗥 𝗙𝗥𝗘𝗘𝗟𝗔𝗡𝗖𝗘𝗥 🏆 Client Feedback: I focus on providing value to clients by building relationships and catering to THEIR needs. This is how I routinely get stellar feedback! 🏆 Over-Delivery: My strategy is NOT to over-promise just to get a contract. Instead I focus on over-delivering. This way I give more than I have promised, not less! 🏆 Responsiveness: I work hard and communicate frequently with my clients. This is essential to keeping everyone on the same page and make sure they are satisfied. 🏆 Reliability: I make sure clients can count on me to always give my best. This lets me face some of the toughest challenges in my area of expertise and attain solid, often unexpected results! Feel free to explore some of my past projects in my portfolio. If you'd like to explore how we can collaborate to address your unique needs, please don't hesitate to get in touch. Your challenges are invitations for us to team up and innovate.
    Featured Skill Data Science
    Social Impact Assessment
    Valuation
    Financial Analysis & Valuation
    Economic Analysis
    Financial Modeling
    Microsoft Excel
    Forecasting
    Economics
    Causal Inference
    Data Analysis
    Econometrics
    R
    Stata
    Linear Regression
  • $35 hourly
    I am a Ph.D. student from the University of Glasgow and currently working as a Lead Data Scientist at Ibtidah Solutions. This role has many elements of machine learning and data science: Data aggregation using multiple databases, understanding of machine learning solution architectures, identifying and defining data traits, creating and optimizing analytical models using artificial intelligence, model validation, visualization, and creating forecasting and prognostic capabilities. Furthermore, I have explored my interest in other projects on time series forecasting, anomaly detection, predictive analytics, and business analytics. I am an active researcher and author of 10 publications. I am leading and mentoring a team of 4 data scientists, responsible for prioritizing and managing workloads on behalf of my team. Here is the summary of my projects: Designing big data machine learning-based solutions for supply chain optimization using time series forecasting. Project includes -Retail sales (time series data) analysis, - extraction of meaningful features based on business understanding and feature importance score - sales time-series forecasting using statistical (Random Forest, XGB, FbProphet) and deep learning (LSTM and STSs,) models -model forecasts visualization at R Shiny dashboards. Xanda News: A social network for news sharing. Daily data aggregation from more than 70 news sources with per user-tailored news feeds. izyFin: A Turkish financial supermarket. With AI-powered loan and deposit account management. Coinflash: An intelligent app that automatically invests your money in purchasing cryptocurrencies. Bitcoin Predictor: A prediction algorithm that ingests Bitcoins historical price data and Twitter tweets and outputs price predictions. Developed a REST API using FastAPI and PostgreSQL to store data from learning management systems Developed a full-stack web application using Flask, React, PostgreSQL and Docker to analyze GitHub data Deep learning-based mobile user behavior sensing via mobility and content demand profiling Federated learning-based agricultural data analytics IoT based vehicle emission sensing and trends forecasting SANAULLAH
    Featured Skill Data Science
    Retail Sales Management
    R Shiny
    Artificial Intelligence
    Supply Chain Modeling
    Statistical Analysis
    Data Analytics & Visualization Software
    Time Series Analysis
    R
    Python
    Neural Network
    Keras
    TensorFlow
    Natural Language Processing
    Artificial Neural Network
  • $350 hourly
    I am a full-stack data scientist and data engineer with a track record of over 2500 hours on Upwork, and I've accumulated countless more offline. My experience spans a wide range of technology stacks within the data science and data engineering domains. From developing machine learning models to optimizing data pipelines, I bring a wealth of expertise to the table. Front end: ui/ux, django, flask, streamlit Back end: micro service, rest api, database performance optimization CI/CD: jenkins, gitlab, Kubernetes, Docker Security: secure file transferring and oAuth etc Web scraping: Scrapy, Rotation Proxy, Selenium, Beautifulsoup Cloud: AWS, GCP, Azure Dashboarding: Tableau, PowerBI, Plotly, Dash Data Science: Python, R, SQL, NLP/NLG, AIGC, GPT-3, ChatGPT, HuggingFace, ML Predictive Modeling, Reinforcement Learning, Knowledge Graph Neo4j, Recommendation Engine, Deep Learning, Computer Vision, OCR, GAN, DeepFake, Stable Diffusion, Signal Processing, Voice Clone, Chatbot, Sports betting, Price Optimization, Time Series Analysis/Forecasting, Crypto, Solidity, Tokenomics, Research: Published around 100 papers on conferences and in peer-reviewed journals. --- Besides my Ph.D., I obtained several certificates from world-renowned institutions in data science, helping me form sound hypotheses and clear conclusions combined with a concise visualization. In addition, I have hands-on experience on many real-world data science projects for clients from all over the world in different industries. I have worked as a consultant for many start-ups on various projects and I have solid background on both research and development. --- Some of the feedback clients provided to me: ⭐⭐⭐⭐⭐ "Very efficient and timely with his work, Stijn put together a very comprehensive analysis of the data and charted it in a very orderly fashion. Obviously very good with more sophisticated stats and working with raw data, and great to work with." ⭐⭐⭐⭐⭐ "Stijn was very professional and extremely skilled. He went much beyond the instructions that were laid out and provided outstanding work. A real pleasure to work with. I honestly can't recommend him enough!" ⭐⭐⭐⭐⭐ Stijn worked on this project for 2 to 3 weeks, he is not only a highly skilled professional, but he is also someone that will make you smarter along the way. ⭐⭐⭐⭐⭐ Most freelancers I tried to work with for this project told me it was impossible to accomplish, it goes to show that Stijn was simply on a higher level. ⭐⭐⭐⭐⭐ "Stijn was super knowledgeable, he is a true professional. For this project he took the time to meet and brainstorm, see what the needs were and how we could go around some of the issue we may encounter. The final product is even better that what I could ask for, I also became a lot more educated and am looking forward to keep on working with Stijn! I have never met someone as skilled and knowledgable about the subject as Stijn."
    Featured Skill Data Science
    Business Analysis
    Data Mining
    Data Visualization
    Quantitative Analysis
    Data Analysis
    Statistics
    Data Scraping
    Statistical Analysis
    Data Extraction
    Tableau
    Machine Learning Model
    Machine Learning
    Python
    R
  • $80 hourly
    ⭐️ Author of "Practical Machine Learning" As the author of "Practical Machine Learning," I bring a comprehensive guide to the forefront of the field. For more details and a link to my book, please refer to the "Other Experiences" section below. 🌟 Full Stack Engineer with Stellar Expertise in Machine Learning, AI, NLP, and Data Engineering With extensive experience as a Full Stack Engineer, I specialize in AI, Machine Learning, Data Engineering, and ETL processes. My commitment to open-source development is evident through my contributions on GitHub: HAMZA310. ⭐️ Approach to Problem-Solving I excel in transforming complex challenges into solvable problems with robust programming, algorithmic precision, and a deep mathematical foundation. ❇️ Client Testimonials ⭐️⭐️⭐️⭐️⭐️ 👍 “He was very cooperative and also have good communication skills. He was also very helpful with bringing his own ideas and experience to the table. He's a valuable asset to any team.” 👍 “ Hamza was very supportive and curious at the tasks at hand to deliver the features that fits the user requirements. He performs well at documentation and demonstrates flexibility at delivering for multiple features at a time. He is able to speak up when it is necessary to address the needs of the users.” 👍 “Hamza would be an asset to any employer, and I can strongly recommend him without reservation.” ✅ Full Stack AI Engineer ✔️ NLP/NLU/NLG Expertise: Specialized in Natural Language Processing, Understanding, and Generation. My expertise spans a broad spectrum of NLP tasks, including Information Retrieval/Extraction, Question Answering, Summarizing, Paraphrasing, and Text/Content Generation, ensuring a comprehensive grasp of language-based AI solutions. ✔️ ML tools: ⚙️ Deep Learning Frameworks: Proficient in TensorFlow, Keras, and PyTorch. ⚙️ NLP and AI Libraries: Skilled in using HuggingFace and various Large Language Models, including open-source (like LLama) and proprietary models (like those from OpenAI). ️✔ Proficiency in predictive model training: Demonstrated proficiency in developing accurate and efficient predictive models, using cutting-edge techniques and tools ✔️ Web Development & Deployment ⚙️ Docker Compose: Proficient in container orchestration. ⚙️ Proficient in creating robust applications using Django/Flask/FastAPI (backend) and React (frontend), integrating diverse technologies for full-stack solutions. ✅ Data Engineer ✔️ Skilled in building and managing ⚙️robust⚙️ data pipelines ✔️ Dagster (Data Orchestration) ✔️ DBT (Data Transformation) ✔️ Airbyte (Data Extraction) ✔️ And more... ✅ DevOps/MLOps Engineer ✔️ Expert in deploying and monitoring production systems, handling infrastructure. ✔️ Skilled in creating cost-effective RESTful APIs for Machine Learning models using AWS, GCP, and Azure.
    Featured Skill Data Science
    DevOps
    Data Warehousing
    Docker
    Django
    Web Development
    ETL
    dbt
    Data Engineering
    PyTorch
    TensorFlow
    Back-End Development
    Flask
    Python
    Machine Learning
  • $150 hourly
    I am an experienced data scientist with a background in artificial intelligence and robot vision. I also do software development for complex scientific applications and algorithm development using artificial intelligence, machine learning, pattern recognition, image processing, statistics, and advanced mathematics techniques. I primarily work in R and Perl. I have also worked in Lisp, Prolog, C, C++, Python, and Java. My experience includes related database design and integration for large complex datasets. In addition to independent work, I also manage software development teams. I also have an additional specialty in assisting customers with the development of government proposals. Responsibilities include storyboarding, organizing, writing, editing, formatting, graphics, project planning, budgeting, forms, and proposal team management. Customers vary in size from startups to Fortune 500 companies and proposal scale varies from SBIRs under $100K to over $100M. Experience with funding agencies including: Army, Air Force, DARPA, DOD, DOE, DOT, Transportation Research Board of the National Research Council, NIST, and USPS. Employment: 10 years as an independent consultant Soar Technology (Small Company) NovoDynamics, Inc. (Startup) Environmental Research Institute of Michigan (Non-Profit Research Institute) Education: Ph.D. Electrical Engineering - Purdue University M.S. Electrical Engineering - Pennsylvania State University B.S. Engineering Science - Pennsylvania State University
    Featured Skill Data Science
    Technical Writing
    Grant Writing
    Research Proposals
    Proposal Writing
    White Paper
    Prolog
    Robotics
    Artificial Intelligence
    Data Mining
    Machine Learning
    R
    Computer Vision
  • $55 hourly
    In the world of Data and Computational Science it is still rare to find profiles oriented to Social Science. Similarly, there are still few Social Science professionals who have the necessary knowledge in Data Engineering or Artificial Intelligence to carry out relevant research with social impact in the world of Big Data. Filling this gap has been precisely the leitmotiv of my professional career.
    Featured Skill Data Science
    Statistics
    Looker Studio
    Tableau
    Data Analysis
    Big Data
    Microsoft Power BI
    Data Visualization
    Network Analysis
    Data Mining
    Python
    SQL
  • $100 hourly
    💡 NLP, Machine Learning, and Deep Learning Implementations 💡 Model Deployments, Data analysis and Visualizations 💡 Custom & Interactive Dashboards and ML Apps 💡 Custom Agents/Chatbots and GPT Powered Workflows and Assistants 🟢 ML Powered Market Analytics and Business Intelligence 🟢 Efficient and Powerful Machine Learning Models 🟢 Data Analysis and Story Building 🟢 Top Rated Plus Freelancer ════════════ SERVICES ════════════ Developing advanced NLP solutions (LLMs, transformers, seq2seq, word embeddings) Designing and optimizing AI agents, chatbots, and virtual assistants Building Custom NLP, ML, RL models from scratch Analytics, Data Exploration, ETL Pipelines Data Modelling, Time Series Analysis, Text Analysis Solutions expert across a wide range of domains Custom API's for fetching, transforming, and loading data Exploratory Data Analysis, Model Training, Hyperparameter Optimization Exposing Machine Learning Models via REST API's Analytics API's for fetching, transforming, and returning required analysis ════════════ ABOUT ME ════════════ Hi, I am a Data Scientist, ML/NLP Engineer and Python Development Expert with 6+ years working across various domains. My core expertise lies in building end-to-end ML and NLP solutions - from data collection and processing, to model training, optimization and deployment via RESTful APIs. I have extensive experience in: - Training custom ML & NLP models from scratch (LLMs, Transformers, BERT, etc.) - Developing AI agents, chatbots and assistants powered by GPT and Langchain - Building recommendation engines, ranking engines, similarity engines - Extracting insights from unstructured data using OCR, NER, text analytics - Deploying scalable ML applications on cloud platforms (AWS, GCP, Azure) - Data Analysis & Engineering: Extracting insights from large datasets, building ETL pipelines, data warehousing, and creating visualizations and dashboards - Software Development: Proficient in Python, SQL, Java, and C++. Experience with Django, Flask, FastAPI for building scalable web applications and microservices Having worked with both large enterprises and fast-paced startups, I bring a unique blend of technical depth and business acumen. I have successfully led data science teams and delivered impactful projects across ClimateTech, Biotech, Fintech, Media, Telecom, Legal and HR domains. As an experienced freelancer, I pride myself on being a creative problem-solver who can rapidly prototype ideas and bring them to production. I ensure all deliverables are thoroughly tested, documented and deployed using industry best practices. ════════════ TOOLS AND TECHNOLOGIES ════════════ Expertise with: NLP, ML, BigData tools GPT3, T5, custom transformer implementations Large Language Models (LLM's) ChatGPT, Langchain Prompt Engineering Language Modelling Topic Modelling, Text Analytics Word Embeddings, Transformer Embeddings Text Similarity, Similarity Engines Recommendation Engines, Ranking Engines Classification Models, Predictive Models Time Series Analysis Classical ML (Regression Analysis, Clustering, Random Forests, Statistical Analysis, Gradient Boosting etc) OCR and Document Parsing (Extracting Tables, Text, etc) Pytorch, Pyspark, Scikit-Learn Python: Django Rest Framework, Flask, Cronjob, Celery, RabbitMQ, Web scraping, Crawling, Data Mining, Micro-Services, Logging & Debugging Database Integrations: Elasticsearch, ArangoDB, SQL, PSQL, SQLLite, MongoDB, CassandraDB, Custom integrations, VectorDB's (Chroma, Pinecone) Deployments: Gunicorn, Nginx, Docker, Docker-Compose, AWS, Azure, GCP
    Featured Skill Data Science
    Retrieval Augmented Generation
    Generative AI
    Large Language Model
    Hugging Face
    Software Development
    Text Analytics
    Predictive Analytics
    API Development
    Elasticsearch
    AI Agent Development
    Deep Learning
    Natural Language Processing
    Python
    Machine Learning
  • $20 hourly
    Hello there, I'm a machine learning / artificial intelligence engineer with an academic background in Natural language processing. I worked with clients ranging from industry leaders like Adobe and AI research groups like Semantic Scholar to innovative startups and individual clients. Here's what I can help you with : ✅ Classic ML: Regression, Classification, Clustering ✅ NLP: Topic modeling, Textual similarity, Sentiment analysis, Text classification, Named entity recognition, Text summarization, Text Generation, LLM ✅ Generative AI: Chatbot development, Gen-AI integration, RAG + all kinds of LLM providers (OpenAI/Anthropic/Cohere...) ✅ Computer vision and image processing: Facial recognition, Image classification, OCR, Image captioning ✅ Data wrangling/manipulation: Data analysis, Data cleaning, Feature engineering, Data visualization ✅ Prototype development / Proof of concepts and deployment (Streamlit + any cloud service of your choice) ✅ Web scraping: dynamic and static websites Tech Stack: - Languages: Python, SQL - ML/DL tools: TensorFlow, Keras, Scikit-Learn - NLP: Transformers, SBERT, NLTK, SpaCy, TextBlob, Langchain, ChatGPT, HuggingFace, regex - Data analysis/visualization tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly - Web scraping tools: Requests, BS4, Selenium - VectorDatabases: ChromaDB, Pinecone, Faiss - Classic Databases: MySQL, Postgres - API development/tools: FastAPI, Flask, OpenAI, Openrouter - Cloud: AWS, Azure
    Featured Skill Data Science
    Data Analytics
    Text Analysis
    Generative AI
    LangChain
    API Development
    Microsoft Azure
    Data Mining
    Artificial Intelligence
    Streamlit
    Natural Language Processing
    Machine Learning
    Supervised Learning
    Natural Language Generation
    Python
  • $80 hourly
    With over 8 years of experience in Machine Learning, NLP, Big Data, API development, and back-end systems, I specialize in designing and deploying end-to-end AI solutions for real-world business challenges. My expertise lies in leveraging Generative AI, LLMs, and advanced NLP techniques to drive automation, enhance decision-making, and improve information retrieval. From building Retrieval-Augmented Generation (RAG) chatbots to implementing AI-powered NL2SQL solutions, I focus on creating scalable AI applications that deliver measurable business impact. ✅ Key AI & NLP Projects: 🚀 Retrieval-Augmented Generation (RAG) Chatbots - Developed AI-driven chatbots that process large document repositories to deliver accurate, context-aware responses. - Integrated LangChain, OpenAI APIs, and vector databases like Qdrant and Pinecone for optimized retrieval. 💡 Natural Language to SQL (NL2SQL) - Built AI solutions that convert natural language queries into SQL, enabling seamless database interaction without SQL expertise. - Developed secure, scalable FastAPI backends with PostgreSQL and MySQL integration. 🤖 Custom AI Chatbots - Designed and deployed LLM-powered chatbots for customer support, HR automation, and knowledge management. - Integrated API-based workflows, multi-turn conversations, and real-time dashboard monitoring. 📩 Automated Support Ticket Processing - Implemented NLP-powered classification and prioritization of support tickets, reducing response times and improving service quality. 🎙️ Speech-to-Text & Text-to-Speech Applications - Developed high-accuracy speech recognition and synthesis systems for accessibility, transcription, and voice-enabled applications. 🛍️ Product Description Generation - Created AI-driven tools to generate SEO-optimized, contextually relevant product descriptions for e-commerce platforms. 📄 OCR & Document Parsing - Automated data extraction from scanned documents, invoices, and contracts using OCR and NLP-based parsing techniques. ⚡ Fine-Tuning OpenAI Models - Specialized in fine-tuning OpenAI models like GPT-4o, optimizing them for domain-specific applications. 🌐 AI-Powered Chrome Extensions - Designed and developed AI-driven Chrome extensions to enhance browsing, automate workflows, and improve user interactions. 🤝 Multi-Agent AI Systems - Built autonomous AI agents using LangGraph and CrewAI for multi-agent collaboration and task execution. - Integrated Celery and Redis for efficient task scheduling and state management. 🛠️ Tech Stack & Expertise: 🔧 Programming Languages: Python, JavaScript, SQL 🧪 Machine Learning & AI Frameworks: PyTorch, Transformers, LangChain, LangGraph 🔍 AI Specialties: RAG, Semantic Search, Sentence Transformers, Vector Databases (Qdrant, Pinecone, Weaviate) 🖥️ Web Frameworks: FastAPI, Streamlit, Next.js ☁️ Cloud & Infrastructure: AWS, GCP, Docker, Kubernetes, Nginx 📊 Databases: PostgreSQL, MySQL, MongoDB I am passionate about pushing the boundaries of AI and developing innovative solutions that bridge the gap between research and real-world applications. Let’s connect and build the next-generation AI-driven products together!
    Featured Skill Data Science
    API Integration
    RESTful API
    Amazon Web Services
    Data Analysis
    Deep Neural Network
    Flask
    Classification
    PyTorch
    Machine Learning
    Natural Language Processing
    Deep Learning
    Machine Learning Model
    Python
    pandas
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How to Hire Top Data Scientists

Given the amount of data being generated today, businesses need professionals to help them make sense of it all. From analyzing historical data to identifying trends, data scientists can help you extract valuable insights for informed decision-making.

Upwork connects you with data scientists with varying skills and specializations. Whether in healthcare, technology, retail, or finance, data scientists can help you gain insights from overwhelming amounts of data.

Hiring data scientists on Upwork is a straightforward process that usually proceeds as follows:

  • Create a job post. Draft a job post outlining your project requirements, the desired skills and qualifications, experience level and responsibilities.
  • Submit the job post. With the job post written, the next step is to post the job template on Upwork. This post will be visible to independent professionals who are looking for the kind of work outlined in the post.
  • Review applications. As you receive applications from experienced data scientists, review them and shortlist anyone you think suits the role.
  • Perform interviews. Next, you interview the shortlisted candidates to assess their technical and soft skills, making sure they fit the role.
  • Discuss terms. Once you settle on an applicant, finalize the hiring process by discussing terms and conditions.

Keep reading to discover more about data scientists on Upwork and how you can make the right selection.

Understanding the role of data scientists

Data scientists perform multiple roles and have many responsibilities, including:

  • Data collection. Collaborate with data analysts, engineers, IT professionals, and stakeholders to gather, clean, and prepare data for processing.
  • Data analysis. Use different data analytics methods and algorithms to analyze large datasets to identify trends, patterns, and relationships.
  • Creation of predictive models. Building predictive models that can give businesses a glimpse of the future, allowing them to plan effectively.
  • Build machine learning algorithms. Develop machine learning algorithms to identify insights hidden in data.
  • Design experiments. Conduct thorough experiments to test hypotheses.

Data science is a valuable field in the modern world, enabling data-driven decision-making

Types of data science expertise 

Common areas that data scientists specialize in include:

  • Artificial intelligence (AI) and machine learning (ML). Data scientists can specialize in AI, which allows computer systems to perform tasks they aren’t explicitly programmed for. Machine learning algorithms operate behind the scenes, analyzing large datasets and identifying patterns and relationships between variables.
  • Deep learning. This branch of machine learning entails training neural networks to solve more complex problems. Data scientists can be involved in developing and training these neural networks.
  • Statistical analysis. Data scientists also engage in statistical analysis, where they use different tools and techniques to explore and analyze data—and extract valuable insights for better informed decision-making

Specialization Assessment Tips:

  • Interview Questions: Assess technical and soft skills to ensure specialization matches your needs.
  • Portfolio Review: Check previous work quality and alignment with your project requirements.

Essential skills and qualifications for data scientists

Data scientists need a range of skills and qualifications to thrive in their roles:

  • Programming languages. Proficient with programming languages, particularly those used in the data science field, like Python and R.
  • Machine learning techniques and frameworks. Data scientists need to know their way around ML frameworks like Scikit-learn, TensorFlow, Keras, and PyTorch, which they use to develop algorithms.
  • Database management and data manipulation tools.  Experience with SQL, NoSQL, and data manipulation tools.
  • Data visualization. Use Power BI and Microsoft Excel for data visualization.
  • Communication skills. Excellent communication skills to express ideas and collaborate effectively with other parties.
  • Analytical skills. Good analytical skills, allowing them to identify patterns and relationships in data quickly.
  • Big data skills. Understand big data fundamentals, enabling them to store and manage large amounts of information. Familiarity with big data tools like Hadoop and Apache Spark.

Finding the proper data scientist

Data scientists have some of the most in-demand skills in 2024 due to the growth of AI, ML algorithms, and big data. Here’s where you can find experienced data scientists:

  • Talent Marketplaces: Find experts with varying specializations and rates on platforms like Upwork.
  • Professional Networks: Use LinkedIn or referrals from colleagues.
  • Industry Conferences: Attend events to meet potential candidates.

Candidate Evaluation Tips:

  • Educational Background: Check for degrees and certifications relevant to your project.
  • Project Portfolio: Ensure quality and diversity of previous work align with your requirements.
  • Published Works: Assess credibility and relevance to your project.

The hiring process

Ask the following questions to assess candidates’ problem-solving abilities and ethics:

  • What tasks did you accomplish in your past projects?
  • How did you collect and clean data for analysis?
  • What tools and techniques did you use in previous data analysis projects?
  • What challenges did you face in your data projects, and how did you resolve them?
  • If your dataset has missing entries, how will you deal with this issue for quality analysis?
  • How do you assess the reliability and accuracy of your results during data analysis?
  • How do you prevent bias when collecting and analyzing data?
  • What ethical issues are common in machine learning and artificial intelligence projects?

Test the candidate’s competence further using practical tests and case studies to assess real-world problem-solving skills.. 

Cost of hiring a data scientist

The cost of hiring data scientists can be influenced by a number of factors, including:

  • Level of expertise. Data scientists charge depending on their experience and specialization.
  • Industry demand. The hiring cost can be high in sectors with high demand for technical skills. For example, data scientists in the artificial intelligence or advanced analytics fields may charge higher rates than other, unrelated fields.
  • Location. Workers may also charge varying rates depending on their location. For example, those who live in places like New York City and have a higher cost of living may charge higher rates. 
  • Complexity. The hiring cost may also vary depending on the complexity of the projects. Complex projects require more time and effort to complete and may thus demand higher rates.

The average hourly rates data scientists charge depend on their experience. Here are some typical rates you may find on Upwork:

  • Beginner or entry-level: $30
  • Intermediate: $100
  • Expert: $250

Collaborating with your data scientist

To onboard a suitable candidate and promote effective collaboration:

  • Communicate Business Objectives: Share objectives, mission, and core values.
  • Enable Data Access: Grant access to necessary datasets while maintaining security.
  • Facilitate Cross-Departmental Collaboration: Introduce them to the team for information sharing.
  • Provide Tools and Resources: Ensure access to the right tools and software.
  • Invest in Learning Opportunities: Encourage participation in bootcamps and courses.

Legal and ethical considerations

  • Data Privacy: Use NDAs to protect sensitive data.
  • Bias and Fairness: Avoid biased datasets in ML model training.
  • Data Usage: Ensure data is used only for legitimate purposes.

FAQs when hiring a data scientist

What is the difference between a data analyst and a data scientist?

While they operate in the same field, data analysts and data scientists play distinct roles. 

  • Data Analyst: Deals with historical data to identify patterns and trends.
  • Data Scientist: Covers AI, ML, and current/historical datasets to find hidden insights.

How do I measure the effectiveness of a data scientist?

Measure the effectiveness of a data scientist through a performance review. This exercise allows you to assess their work based on specific key performance indicators (KPIs).

How can a data scientist add value to my business?

A data scientist can analyze large datasets and provide you with crucial insights, facilitating data-driven decisions. This expert can also perform predictive analytics, giving you a glimpse of how the future looks and allowing you to develop and implement proper strategies.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

Prices and fees are current at the time of writing and may change over time based on each service’s offerings.

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