Hire the best Data Scientists

Check out Data Scientists with the skills you need for your next job.

Clients rate Data Scientists
Rating is 4.8 out of 5.
4.8/5
based on 6,962 client reviews
David O.
$78/hr
  • Trophy Icon Data Science
  • Machine Learning
  • Quantitative Analysis
  • R
  • Shiny
  • Bioinformatics
  • Statistics
  • Data Analysis
  • Data Scraping
  • Data Visualization
  • R Shiny
  • ggplot2
  • Analytics
  • Forex Trading
  • API

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 10 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.

Ahmed S.
$110/hr
  • Trophy Icon Data Science
  • Deep Learning
  • PyTorch
  • Azure Machine Learning
  • Predictive Analytics
  • ETL
  • Microsoft Azure
  • Keras
  • DevOps
  • Amazon Web Services
  • SciPy
  • pandas
  • Machine Learning
  • GitHub

Ahmed Sherif has a great mix of Data Science and Engineering skills. He spends his time building and deploying cool ML and deep learning applications to the cloud. He has programming knowledge in Python, R and SQL, which he uses in conjunction with Spark to build out data and ML pipelines. He has additional programming knowledge in JavaScript, HTML, CSS, and D3.js to deploy web based visualizations. In 2016, Ahmed published his first book, 'Practical Business Intelligence'. It is a journey in developing BI solutions with open source software to help companies gain a competitive advantage. In 2018, he published his second book, Apache...

Faizan S.
$70/hr
  • Trophy Icon Data Science
  • Machine Learning
  • Natural Language Processing
  • Python
  • R
  • Data Mining
  • Deep Learning
  • SQL
  • PyTorch
  • TensorFlow
  • C++

I have over 8 years of experience in machine learning and data science. Through my education and experience, I have developed strong background in linear algebra, probability, statistics, programming, and, machine learning. Once you hire me, I will do my best to create value for your business. Detailed experience: + Natural language processing and text mining + Developing, training, testing, and deploying machine/deep learning models + Reinforcement learning + Computer vision + Algorithmic trading + Automatic speech recognition and generation + Linear/non-linear programming + ETL and data extraction via API + Data visualization and...

Tyler M.
$200/hr
  • Trophy Icon Data Science
  • Python
  • Deep Learning
  • Computer Vision
  • Machine Learning
  • Artificial Neural Network
  • Convolutional Neural Network
  • Quantitative Finance
  • Stock Option Agreement
  • Quantitative Analysis
  • Financial Analysis
  • Microsoft Excel
  • Artificial Intelligence
  • Automation
  • Data Visualization

Very experienced in Python, across a wide interest of fields. Especially automating tasks, trend analysis, excel manipulations, data visualization, core machine learning (regressions, clustering, classification, etc), along with a healthy amount of deep learning. Heavy focus in finance, backtesting strategies, and automated trading. Also, a decent amount of computer vision, and other visually related subjects - like automated art generation, NFTs, GANs, etc. Have a lot of experience with AWS for data backups, deployment, automation, and utilizing multiple cloud computers at once. AWS EC2, S3, Amplify, DynamoDB, Lambda, etc. API...

Erin W.
$110/hr
  • Trophy Icon Data Science
  • Data Modeling
  • Data Analysis
  • Business Intelligence
  • Analytics
  • Quantitative Analysis
  • Data Mining
  • Linear Programming
  • Management Consulting
  • Business Modeling
  • R
  • Operations Research
  • Statistics
  • Statistical Analysis

My passion, skills, and experience center on the application of analytics and data modeling to help clients solve business problems and make smart decisions. I focus on the healthcare sector, but I have experience in a diverse range of industries, including retail, restaurants, real estate, auto auctions, food delivery services, subscription services, and many more. I've consulted for individuals and groups in both academia and government, and have conducted data science training seminars at the Texas Medical Center, at a large oil and gas company, and elsewhere. My bona fides: -15+ years in data analytics space -Over 7 years running a...

Nancy Z.
$70/hr
  • Trophy Icon Data Science
  • R
  • R Shiny
  • Data Analysis
  • Epidemiology
  • Public Health
  • Python
  • SQL
  • Machine Learning
  • Microsoft Power BI Data Visualization
  • Forecasting
  • Data Modeling
  • Linear Regression
  • Logistic Regression
  • Data Visualization

I am a data scientist with academic training in epidemiology and 5 years of working experience in data analytics for both government organizations and consulting firm. I have experience on those projects: - Developing data visualization products using R Shiny, Microsoft PowerBI or Tableau - Conducting observational studies using health administrative data such as HCUP NIS, Truven MarketScan, electronic medical records, etc. - Building prescriptive or predictive models (mixed effect model, logistic regression, clustering, decision tree, etc.) - Web scraping for data acquisition - Reports automation I excel at listening to clients' needs...

Maria Victoria G.
$80/hr
  • Trophy Icon Data Science
  • Data Analysis
  • Google Analytics
  • SQL Programming
  • Database Modeling
  • Data Visualization
  • Business Intelligence
  • R
  • Management Skills
  • Google Tag Manager
  • Tracking & Analytics
  • Web Analytics

I am a Business Intelligence specialist with 10 years experience on data tracking, architecture, transformation, visualization and analysis. I have a Bachelor degree in Business Administration and during the last 10 years I specialized myself on helping companies to make decisions using data and generating business insights as well as architecting the reporting and analytics practice and processes. My goal was always to transform "Data Analysis" into an efficient and useful practice within the company, instead of a time consuming task with non-trusted results. Skills set: team management, data exploration and troubleshooting, data...

Serhii R.
$70/hr
  • Trophy Icon Data Science
  • Excel VBA
  • R
  • SAP
  • Statistical Computing
  • Artificial Neural Network
  • Artificial Intelligence
  • Econometrics
  • Economic Analysis
  • Financial Forecasting
  • Financial Modeling
  • Market Research
  • Academic Writing
  • Machine Learning
  • Quantitative Analysis
  • Microsoft Excel

I have 10 years of experience in statistical analysis. I worked mostly with Ukrainian banks and insurance companies in 2008-2013. From 2014 till present I am mostly working with consultancy agencies and individual projects. My main field is scientific research, but also interested in permanent practice and development. I provide data forecasting with nowadays effective methods and scientific expertise. Also have experience as in microeconomic and macroeconomic modeling. I take part in project "Ukraine: perspectives of the development. Consensus forecast" led by the Ministry of Economic Development and Trade of Ukraine from 2009. I can...

Ahmed E.
$70/hr
  • Trophy Icon Data Science
  • Data Analysis
  • Python
  • Natural Language Processing
  • Data Visualization
  • Machine Learning
  • Predictive Analytics
  • Docker
  • Modeling
  • API Development
  • Model Optimization
  • Statistics
  • Deep Learning
  • Computer Vision
  • Anomaly Detection

I'M a Aata Scientist with 5 years of experience. 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. Below are some of the common task I'm consulted with: - Machine learning for trading - Machine learning for Marketing use cases - Exploratory data analysis, Statistics - Data visualization - Hypothesis Testing - Automated A/B testing - Deep learning Languages & tools - R (+2 years) - Python (+5 years) (Keras, TensorFlow, NumPy, scikit-learn, pandas, OpenCV,...

Márlon Henrique T.
$60/hr
  • Trophy Icon Data Science
  • GIS
  • Image Processing
  • AI
  • Data Analysis
  • Artificial Intelligence
  • Keras
  • Artificial Neural Network
  • Computer Vision
  • Deep Learning
  • Model Optimization
  • Machine Learning
  • Natural Language Processing
  • Neural Network
  • Google Cloud Platform
  • TensorFlow

I have a Ph.D. in Cognitive Science and computer modeling. I have solid experience - more than 5 years - as a data scientist for private companies and as a researcher in the field of data analysis. I program in Python and have a deep understanding of libraries like Pandas, Numpy, Matplotlib, Scikit-learn, Keras, Pyunicorn, among others. I'm a specialist in temporal series analysis with a special focus on Energy Disaggregation, predictive maintenance, and predictive diagnosis, among others.

Elena S.
$95/hr
  • Trophy Icon Data Science
  • Chatbot Development
  • Artificial Intelligence
  • Python
  • Natural Language Processing
  • Deep Learning
  • Machine Learning
  • Dialogflow
  • ManyChat
  • Chatbot
  • Bot Development

Chatbot Developer & NLP Engineer with 6 years of experience building clever systems that understand human language. #Rasa #DialogFlow #ManyChat I am skilled in Machine Learning and Artificial Intelligence and work on a wide range of projects involving Chatbot Development, Artificial Intelligence and Natural Language Processing technology. I have BSc in Computational Linguistics and MSc in Artificial Intelligence and have been working as an NLP Engineer / Chatbot Developer for the last 6 years. I can help you with: • Consultation. I can share with you my knowledge and expertise in the area of chatbot development and NLP,...

Wondimu A.
$70/hr
  • Trophy Icon Data Science
  • Quantitative Analysis
  • Data Mining
  • Data Analysis
  • IBM SPSS
  • Statistics
  • R
  • Market Research
  • Data Modeling
  • Analytics

I have a PhD in Psychology and I have over 12 years of experience manipulating large data sets and building statistical models. I have strong experience in using R for complex data analysis involving clustering, classification, latent-class analysis, growth curve modeling, propensity score analysis, regression discontinuity analysis and predictive models. I also have intermediate level of expertise in Python and SQL. I have strong expertise in SPSS, LISREL(for SEM) and MLwIN (For multi-level modeling). Moreover, I have experience visualizing/presenting data using various softwares. I have published a number of articles in international...

Ajay T.
$50/hr
  • Trophy Icon Data Science
  • Big Data
  • Google Cloud Platform
  • Statistics
  • Machine Learning Model
  • SQL
  • Supervised Learning
  • Unsupervised Learning
  • Natural Language Processing
  • Linear Regression
  • Amazon SageMaker
  • Logistic Regression
  • Forecasting
  • Python
  • Data Science Consultation

I am a data science professional with over 15 years of experience in delivering a wide range of analytics solutions to many mid-size to large organizations across the globe. My solutions can be categorized under the following broad categories. Data Engineering - Data integration from multiple sources, enrichment & feature creation Statistical Models - Decision Trees and GLMs with Gaussian, Poisson, NB, Gamma, Tweedie Machine Learning - Supervised & unsupervised learning, classification & regression models Data Visualization - Creating interactive & insightful dashboards in all popular tools Experience in delivering impact through my...

Rex E.
$88/hr
  • Trophy Icon Data Science
  • Translation
  • Industrial Engineering
  • Cooking
  • Capital Markets
  • Machine Learning
  • Data Engineering
  • Cryptocurrency
  • Web Scraper
  • SQL

I love to optimize systems, whatever they may be. I help make Data-Driven decisions. Through machine learning, AI, or any other methods, I will find the best way to manipulate the data at hand. My passion is in cryptocurrency/blockchain; feel free to ask me any questions about the cryptoverse!

Marc S.
$75/hr
  • Trophy Icon Data Science
  • Python
  • PostgreSQL
  • ggplot2
  • Artificial Neural Network
  • Machine Learning
  • R
  • Software Debugging
  • Code Review
  • Convolutional Neural Network
  • XGBoost
  • Random Forest
  • Data Analysis
  • Time Series Analysis

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...

Himanshu J.
$50/hr
  • Trophy Icon Data Science
  • Machine Learning
  • TensorFlow
  • Computer Vision
  • Natural Language Processing
  • Artificial Neural Network
  • Deep Learning
  • Convolutional Neural Network
  • Data Analysis
  • Data Cleansing
  • Data Science Consultation
  • Data Scraping
  • Unsupervised Learning
  • Neural Network

I am a PROBLEM SOLVER Your problem deals with DATA, I am your guy Your problem is related to AI, I am your guy You need an end-to-end solution for your IDEA, I AM YOUR GUY! Programming Languages: › Python › R › Java › Javascript › C › C++ Frameworks: › Tensorflow › Keras, Flask › Django › PySpark › AngularJS › ReactJS › Node.JS › Jquery Technologies: › Web Development › Machine Learning › Deep Learning › Data Science Technical Skills: › Data Acquisition › Data Pre-processing › Data Analysis and Interpretation › Data Modeling Data Visualization: › Tableau › RAW › Matplotlib › Seaborn › Ggplot › Tensorflow dashboard Other...

Craig S.
$65/hr
  • Trophy Icon Data Science
  • Statistical Analysis
  • Machine Learning
  • Python
  • R
  • Environmental Science
  • Experiment Design
  • Data Visualization
  • Data Analysis
  • Database Report
  • Research & Development

My background is in ecological research: using advanced numerical methods to address ecological problems. I received my PhD in 1998, and have worked as a biostatistician and ecologist at a range of universities and government institutes in Australia and California. As a statistician, I have consulted widely for students, academics, and State and Federal research scientists and agencies. I have taught sampling and experimental design and statistical analysis courses in several countries using SAS, R, Statistica, Systat, and SPSS. I have over 50 peer-reviewed publications and am an experienced reviewer for a range of journals. As a...

Orhan Gazi Y.
$120/hr
  • Trophy Icon Data Science
  • Python
  • pandas
  • Microsoft Excel
  • Plotly
  • Data Visualization
  • Matplotlib
  • JavaScript
  • D3.js
  • Data Science Consultation
  • Blockchain
  • TensorFlow

🏆 Top 1% Expert-Vetted Ph.D.-Level Data Scientist and Project Manager. I am a Ph.D.-level data scientist, technical author, and project manager with more than seven years of experience. With a consulting background, I am always punctual, an excellent communicator, and diligent with my work. I actively work with the World Bank Group, am a Top Writer in Artificial Intelligence on Medium (see oyalcin.medium.com), and published a technical book with Apress (see apress.com/gp/book/9781484265123). With an extensive background in different fields, including law, entrepreneurship, finance, and artificial intelligence, I have domain knowledge in...

Fauzan T.
$20/hr
  • Trophy Icon Data Science
  • Python
  • Machine Learning
  • Flask
  • React
  • CSS
  • Docker
  • JavaScript
  • Analytics
  • RESTful API
  • PostgreSQL
  • Website Development
  • Statistics
  • Microsoft Azure
  • Web Application

I believe my strength is analytic and problem-solving. I am a hard-working person, passionate, and can work under pressure. I was software engineer and now Machine Learning Engineer, so I have mixed skill between Machine Learning and DevOps. that's why now I'm Machine Learning Engineer, working like DevOps for ML model, implementing MLOps. I Have been studied programming since 2016 and have been working since 2018. In my job as ML Engineer, I build infrastructure for Machine Learning Operation in Microservices Environment, I practicing MLOps. so I can buld model, deploy model, monitor model, and retrained model. shortly maintaing the...

Alexander P.
$75/hr
  • Trophy Icon Data Science
  • Distance Education
  • IT Consultation
  • OpenGL
  • 3D Modeling
  • Data Modeling
  • Computer Science
  • Educational Technology
  • Quantitative Analysis
  • Statistical Analysis
  • Python
  • Algebra
  • Wolfram Alpha
  • Differential Calculus
  • C++

Consulting in the area of computer science and applied mathematics. System design, information security and cryptography, geo-informatics, computer graphics technologies. Applied mathematics, dynamical systems, data science and modelling, optimization.

Nehemiah L.
$75/hr
  • Trophy Icon Data Science
  • A/B Testing
  • Data Analysis
  • Data Visualization
  • Machine Learning
  • SQL
  • Python
  • Tableau
  • Google Sheets
  • SQL Programming
  • Hypothesis Testing
  • Dashboard
  • Product Analytics
  • Marketing Analytics
  • Google Analytics
  • Microsoft Excel

Hello! I am a Data Science freelancer who loves to help clients makes data-driven decisions for their businesses. I enjoy learning about my clients' needs and working together to solve complex problems using the most up-to-date Data Science or Machine Learning tools. I have extensive experience in Data Science, having seen many projects through from project scoping to data collection to implementation. My skills include: - Creating, hosting, and maintaining Tableau dashboards - A/B Testing, Marketing Analytics, and E-Commerce Analytics with Google Analytics and Google Data Studio - Data Visualization in ggplot, Matplotlib, Plotly - ETL,...

Swati K.
$75/hr
  • Trophy Icon Data Science
  • Marketing Data Analytics
  • Visualization
  • Business Analysis
  • Business Strategy
  • Machine Learning
  • Predictive Analytics
  • Quantitative Analysis
  • Python Pandas
  • Jupyter
  • Data Science Consultation
  • Data Modeling

Hi! I empower businesses by helping them solve business problems using qualitative and quantitative data and recommend actionable solutions that are the best fit. Depending on the problem, I have served as a data scientist and a business analyst for the past 7 years. Education from one of the top business schools in the world helps me build solutions that are practical and consumable. Details on Experience: • Analytics Strategy: Maturity assessment, problem roadmap, priority assessment, and solution design • Predictive analytics: Demand forecasting, next purchase/visit, event or...

Jason K.
$500/hr
  • Trophy Icon Data Science
  • Artificial Intelligence
  • Web Scraper
  • Python
  • Data Mining
  • Selenium
  • Data Scraping
  • Deep Learning
  • Data Visualization
  • Machine Learning

If your project involves data, I CAN HELP, here's how: Don't have any data? I'll scrape some for you! Have data, but it's very raw? I'll clean it for you! Have data, but not sure what to do with it? I'll analyze it, provide useful insights, and create stunning visualizations! Trying to build a machine learning model? I'll use state of the art techniques to develop the best model possible!

Mark S.
$150/hr
  • Trophy Icon Data Science
  • Computer Vision
  • OpenCV
  • Python
  • Machine Learning
  • Geospatial Data
  • Data Analysis
  • Digital Signal Processing
  • Algorithm Development
  • Image Processing
  • NumPy
  • SciPy
  • Tesseract OCR
  • Pattern Recognition

Algorithm developer, research scientist, and technical leader with experience in image and signal processing, data analysis, optimization, pattern recognition, and machine learning for startup companies in a variety of applications and industries. Most development performed in Python with Numpy, Scipy, OpenCV, and sklearn libraries. Generally work with early stage prototype algorithm development (getting it working, not optimizing for execution speed).

Reto W.
$150/hr
  • Trophy Icon Data Science
  • R
  • Machine Learning
  • Data Visualization
  • Quantitative Analysis
  • Statistics
  • Animation
  • Data Mining
  • Project Management
  • Data Analysis

I solve problems. "Our internal team nicknamed him NEO because he can see the matrix of data like nobody else."

Adnan K.
$36/hr
  • Trophy Icon Data Science
  • Google Data Studio
  • Microsoft Power BI
  • SQL
  • Tableau
  • Python
  • Microsoft Excel
  • Machine Learning
  • Data Analysis
  • Statistics
  • Data Modeling
  • Data Scraping
  • Financial Analysis
  • Statistical Analysis
  • Power Query
  • Exploratory Data Analysis

I am an expert in Data Visualization✅ and Data Analytics✅ with experience💼 of over ten years. I have acquired skills in Data Science✅ with a Diploma🎓 and hands-on experience for more than three years. I am equally at ease with different frameworks, from Python✅, Alteryx✅ for Data analysis to SQL✅ and Power Query✅ for data extraction and transformation. I have extensively worked with different visualization tools including Tableau✅, Power BI✅ and Google Data Studio✅. I am also an expert in advance Excel✅ working with complicated formulas is a part of my daytime job. Here are some of the reasons why you should consider me above other...

Ezhil T.
$55/hr
  • Trophy Icon Data Science
  • Data Analysis
  • Python
  • SQL
  • Databricks
  • R
  • Machine Learning
  • Apache Spark MLlib
  • PySpark
  • Python Scikit-Learn

I am a striving Data Scientist with extensive knowledge in Python, Java, MySQL, PySpark, and R. I am always looking for places where data is collected and how said data can be used to provide powerful insights and make powerful predictions on our everyday activities Concepts: Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Classification, Regression, Clustering, Probabilistic Modeling, Deep Learning, A/B Testing, Data Structures Languages: Java, Python, SQL, R, Scala, Pyspark, C#, HTML, CSS, Javascript, MATLAB Tools: Pandas, Numpy, Scikit-learn, Azure DataBricks, Azure SQL, Azure WebApps, AWS...

$NaN/hr

How it works

1. Post a job (it’s free)

Tell us what you need. Provide as many details as possible, but don’t worry about getting it perfect.

2. Talent comes to you

Get qualified proposals within 24 hours, and meet the candidates you’re excited about. Hire as soon as you’re ready.

3. Collaborate easily

Use Upwork to chat or video call, share files, and track project progress right from the app.

4. Payment simplified

Receive invoices and make payments through Upwork. Only pay for work you authorize.

Trusted by 5M+ businesses

How to Hire Top Data Scientists

How to hire data scientists

Knowledge is power, but only if you can extract it from your data. Data scientists help businesses process data and glean insights that can be used to improve their products and services and better reach their target markets.

So how do you find data science consultants? What follows are some tips on how you can find top data scientists on Upwork.

How to shortlist data science professionals

As you’re browsing available data science consultants, it can be helpful to develop a shortlist of the freelancers you may want to interview. You can screen profiles on criteria such as:

  • Professionalism. Who’s tailored their submission to speak to your business and your project? Check out their Upwork profile: How do they present themselves in general?
  • Talent. Because data scientists are part engineers, part statisticians, and part computer scientists, it should be clear from their proposal, profile, and portfolio that they have the specific mix of skills needed to do the work.
  • Experience. Has the freelancer worked for others in your industry, or handled projects like yours in the past?
  • Feedback. What do previous clients have to say about the work on their work? Reviewing feedback can give you insight into their ability to communicate, solve problems, and produce a great product.
  • Portfolio. Have they handled complex data projects before? What were the results? Each sample should provide a description, which may explain the problem they needed to solve and other project requirements. Make sure they can explain how the work in their portfolio relates to the questions you’re trying to answer.

How to write an effective data science job post

First, define what you want and the skills needed to accomplish those goals. From there, consider further breaking down the project into the specific technologies your data science pro will need to know. Use the information in your brief to create a detailed job post that will attract the type of freelancer you’re looking for. Start by defining a scope of work that focuses on three things:

  • Results: What deliverable(s) do you expect?
  • Targets: What are your deadlines?
  • Time: What are the start and end dates for your project?

You’ll also want to highlight the specific skills you’re looking for. Data science encompasses an array of fields, from computer science to statistical analysis to machine learning to data visualization. You’ll also want to make sure they’re familiar with the tools they’re going to be using on your project, whether those are statistical languages like R or Python, or database technologies like Hadoop.

Ready to harness the power of data for your business or organization? Log in and post your data science job on Upwork today.

DATA SCIENTISTS FAQ

What is data science?

Whether it’s using A/B testing to choose between two designs, measuring the performance of your marketing channels by collecting the right KPIs, or data mining the competition to gain new insights on how you can approach your target market, data scientists get you the intel you need to make informed business decisions.

Here’s a quick overview of the skills you should look for in data science professionals:

  • Data science and analytics (e.g., quantitative analysis, modeling, statistics)
  • Machine learning
  • Languages such as R, Python, and MATLAB
  • Big data frameworks such as Spark and Hadoop
  • Cloud platforms such as AWS

Data scientists help businesses leverage data to get the answers they need to succeed.

Why hire data scientists?

There’s a good deal of confusion and ambiguity around the term data scientist. A data scientist can actually describe several distinct specialties, which we’ll outline here.

  • A data analyst is someone who spends most of their time querying databases. They’re often the most junior level of data scientist, and may or may not have much experience with statistical analysis or algorithms. They’re best suited to answering ad hoc questions that can be answered by pulling data from Excel or SQL databases. They should also be able to produce basic visualizations with tools like Tableau as needed. If you already have a well-constructed database and just need someone to answer specific questions, a data analyst might be right for you.
  • A data engineer is less engaged in running specific queries than in building the systems to help provide the answers. Unlike data analysts, data engineers often work directly with developers, ensuring that data is properly being captured and stored by the relevant systems. They also ensure that scheduled processing jobs run on schedule. They are most likely to need expertise with big data frameworks like Hadoop and Spark, as well as knowledge of production-oriented programming languages like Java and Python.
  • A data scientist needs to be able to oversee complex data projects from beginning to execution. In addition to having great technical skills, they need to be able to effectively communicate their findings to others in the organization. They should also be able to manage a team. They should be able to query databases like an analyst, but also able to perform much more sophisticated analysis using statistical techniques and machine learning, depending on the task at hand.

So, before you go any further, ask yourself: What problem am I trying to solve? A data scientist can help guide your organization’s decision-making process with data. Here are some common questions a data scientist might be able to help you answer:

  • How do we improve user retention?
  • Who are our most valuable customers?
  • How can we decrease turnover among our employees?
  • What new features should we prioritize?

As you can see, these questions get right to the core of your business goals. Once you’ve settled on a question or set of questions, you can start getting into more specifics. What data will you need to answer these questions? Are you collecting that data at present? What metrics will you use to measure success?

What kind of data scientist you’re looking for will depend on a couple of things: What kind of question are you trying to answer, what the current state of your data operation is, and what technologies is your team currently using.

A lot will also depend on your current data setup. Does answering your question require you to start collecting data that you haven’t before? If so, you’ll need a data engineer to work with your dev team to make sure trackers are properly set up and that the data being collected is going to the right place. If you don’t already have a steady data pipeline, this can be a significant engineering outlay by itself. Once you’re collecting the data you need, how much will it need to be processed? If your data is messy (meaning it needs to be reformatted or otherwise transformed before it can be used) this adds another layer of complexity.

At present, the programming language Scala and the big data framework Spark are extremely valuable. According to the Stack Overflow Developer Survey, data scientists who use Scala, Spark, and Hadoop command the highest rates in the field, while those who use R, Java, and Python typically charge somewhat less.

How much does it cost to hire a data scientist?

Data science is a hot field, and qualified data scientists can charge more than other kinds of developers or business analysts. On Upwork, rates charged by freelance data scientists can range from $36 to $200 an hour with an average project cost of around $400. Keep in mind, however, that these rates go up when more specific skills, like Scala and Spark, are taken into account. That said, it may make more sense to negotiate a project fee based on the scope of your project.

Remember, aside from ad hoc queries, most data projects are long-term commitments. You’ll need someone who’s familiar with your systems and can help you measure the impact your decisions have made over time. For this reason you may also consider a retainer arrangement. Below we’ve put together a table of some common data science projects, along with some relevant skills and hourly rate ranges charged by some data scientists.

Type of Project Relevant Skills Hourly Rate
Analysis and ad hoc queries Excel, SQL, visualization $20-$100
Set up a data pipeline Java, Python, Scala, Hadoop, Spark, data cleaning, $25-$100
Build a recommendation engine Statistical analysis, Machine learning, Python, Scala, Spark $50-$210

What’s the difference between a data scientist and data analyst?

Data scientists and data analysts aren’t interchangeable, but they do both have a common goal: to draw insights from data. While their skills will overlap (in many ways, data scientists are advanced analysts), generally data scientists will have a broader and deeper skill set, especially when it comes to their business acumen. They’ll have technical knowledge an analyst won’t necessarily need on a day-to-day basis, such as deep familiarity with Hadoop, advanced statistical modeling, artificial intelligence and machine learning.

Both professionals can transform data into answers business owners need to make better decisions, but what they’re starting with and the skills required to reach those answers will vary. Data analysts can answer your business questions, but data scientists can help you formulate new questions to drive the business forward. And when it comes to complexity, chances are you’ll need a data scientist.

Let’s quickly look at what each does.

Data analysts

Data analysts take known data and glean actionable insights and answers to specific questions you have about your data. These are the pros who funnel insights from data into industries like education, healthcare, and travel to help businesses like airlines and hospitals run better, and deliver better service to customers.

Their value lies in their ability to make data (for example, data that’s been input into a CRM or exported from Google Analytics) more usable for you and your company. Generally, an analyst will

  • Clean and sort data
  • Uncover new patterns and correlations
  • Find actionable insights and package them up for business use
  • Use visualizations and interactive dashboards to present findings
  • Query data to meet specific needs
  • Create reports for key stakeholders

When it comes to unstructured data, analysts may work with a data scientist or data engineer to get help pulling new data sets for analysis.

Data Scientists

Why are most data scientists able to charge almost double the rate or salary as a data analyst? Data scientists have a broader and deeper skill set, especially when it comes to their business acumen. These pros create algorithms and models businesses use to predict future sales, make critical decisions, or launch products. They’re able to do more with more difficult data, including

  • Mining large amounts of structured or unstructured data
  • Data warehousing
  • Advanced programming, with R, SQL, Python, MatLab, and SAS
  • Statistical modeling
  • Develop machine learning and predictive analytics models
  • Work with the Hadoop ecosystem, including Hive and Pig
  • Formulating important business questions and hypotheses, then testing validity with math and statistics

A big difference is their ability to work with more complex, unstructured data—as in, data your company either doesn’t currently understand or can’t work with because it’s from multiple disconnected sources. If an analyst is primarily working with your “known data,” a data scientist is equipped to work with any of your company’s data that isn’t known or currently understood.

When a business is making a critical decision, data scientists play a key role. They test theories and hypotheses, the results of which become eye-opening insights key stakeholders can use to make predict outcomes and make more informed decisions.

How to interview a data scientist?

During the interview, be sure you take the opportunity to learn more about the data scientist’s approach to the problem, their experience, and how they’ve used creativity and talent to accomplish similar goals in the past.

Prepare your interview questions ahead of time so you can feel confident that you’ve covered all relevant points. We’ve created a list of data science interview questions you can reference, but here are some additional questions to consider:

  • “What do you think of our existing product? What’s something we could be doing that we’re not right now?” Tailor this to ask about something related to your data project—i.e. your existing data pipeline or algorithms—or to learn whether they’ve done their homework.
  • “Tell me about three data science projects you’ve worked on?” Ask about their most similar projects, favorite projects, or most recent. Listen for how they solved the initial problem, challenges that came up during the process, and what they did to address them.
  • “What’s your production timeline?” Get more details about how quickly they work, how much time they’ve spent on previous data projects, and how they receive and implement feedback.
  • “What makes a great [insert type of project here]?” Learn more about how they’ll approach your project as well as their experience with similar work.
View less
Schedule a Call