Data Scientist job description template

An effective description can help you hire the best fit for your job. Check out our tips to provide details that skilled professionals are looking for.

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Tips for Writing a Data Scientist Job Description

A data scientist is a professional who uses statistical and analytical techniques to extract meaningful insights from raw data. They can leverage that knowledge to build models (including machine learning models) and predict trends. An experienced data scientist can also clean your data sets to accelerate your time-to-insight of your big data analytics pipelines. This is important to businesses since the amount of available data is growing exponentially.

Below is a sample job description exploring the daily responsibilities and necessary qualifications for a data scientist. 

The Job Overview

We are seeking a data scientist to join our business intelligence team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python).

Your primary responsibilities will be performing statistical analyses, running custom SQL queries,  and identifying patterns and trends that can improve our products’ and services’ efficiency and usability. You will also be expected to maintain and improve our data infrastructure and tools.


Below are some of the responsibilities a data scientist is expected to assume in their position:  

  • Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services
  • Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline
  • Perform data mining, exploration, and analysis 
  • Create data visualizations, reports, dashboards, and data audits
  • Design, train, and implement machine learning algorithms
  • Leverage predictive models to optimize customer experiences
  • Creating automated anomaly detection
Job Qualifications and Skill Sets

Below are the qualifications expected of a data scientist:

  • Bachelor's degree in data science, data analytics, or related field
  • Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
  • Proficiency in Python, Java, or Kotlin
  • Knowledge of data science toolkits such as R, NumPy, and MatLab
  • Experience with big data analytics technologies such as Spark and Hadoop
  • Experience with data visualization tools such as D3.js and Tableau
  • Expertise in data mining and machine learning
  • Working knowledge of statistical models and business intelligence
  • Familiarity with cloud-based infrastructure
  • Ability to store and process unstructured data with NoSQL databases and machine learning models


Rating is 4.8 out of 5.

clients rate Data Scientists based on 6K+ reviews

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Data Scientists you can meet on Upwork

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    Brandon, MS
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    I am a software developer and data professional with over five years experience. My business philosophy is to provide solutions that generate value for the client long after I deliver them. I'm currently undergoing rigorous study to better understand and integrate various technologies to offer more comprehensive support to my clients. I can help implement: - various types of automation, including quality assurance automation - certain cloud solutions with GCP, AWS, and Microsoft AzureML - data transformations - machine learning models - dashboards - command-line interfaces - financial analyses - Jupyter notebooks - spreadsheet solutions (Google Sheets and Excel) - various types of interactive visualizations - software modules (in particular, I'm currently learning to build Python modules in Rust for faster performance) I have formal training as an engineer up to the Master's level. I have training from past full-time roles as research engineer and data analyst. I attribute much of my current skills to ongoing self-study using online resources such as Packt and O'Reilly technology and business training. I am also developing my skills in Rust and online cloud services. As a research engineer, I developed experimental machine learning models with Python and wrote corresponding technical reports. These efforts were also the subject of my graduate work. As a data analyst, I collected and analyzed data from solar energy infrastructure projects and conducted external market research to determine future project viability in different regions. Since joining Upwork, I have assisted clients with ML and data engineering tasks. As mentioned earlier, I am currently training to be a full-stack solutions architect with both coding and strategic planning offerings.
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    Hi, I'm a Profesional Machine Learning Engineer and Fullstack Developer. My career started in 2015. My competency is in Machine Learning, Matlab, Python, PHP, Wordpress, Laravel, and VueJS Matlab and Python are my experts with more than 5 years experience. Both of them I always use for various data processing such as cellular provider customer service, ecommerce service, and other service. I have analyzed various system such as mountain mitigation systems, ocean wave systems with various methods such as Neural Network (NN) and Fuzzy Logic. Beside these methods, I'm ready to learn new analyst method, where it makes my work better, faster and more efficient. For Fullstack Developer, I have experience building and maintaining website PHP like WordPress, Laravel, CodeIgniter. Also more expert with VueJS, and ReactJS. Skills Data Scientist 👉 Machine Learning 👉 Matlab 👉 Python Skills Fullstack Developer 👉 Website Optimize: CoreWebVitals 👉 FrontEnd FrameWorks : VueJS, ReactJS, NextJS 👉 PHP Framework : Laravel, CodeIgniter, Symfony 👉 CSS Framework : Bootsrap, Tailwind 👉 CMS : Wordpress 👉 Front End Development 👉 Javascript, jQuery 👉 Unit test (Jest) Thank you for your attention.
  • $150 hourly
    Myles I.
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    vsuc_fltilesrefresh_TrophyIcon Data Science
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    Top Rated Plus Gen AI Engineer | Harvard and Columbia Alumni I am a highly experienced Generative AI Engineer who has worked with clients across multiple industries including finance, academia, e-commerce, construction, medicine, and web design. I provided high-quality solutions for all of my clients, earning me outstanding reviews and a 100% Job Success Rating. My areas of expertise include Large Language Models (LLMs), Generative AI, Chatbots, Data Science, AI Dashboard Development, Natural Language Processing, Data Visualization, and Statistics. In addition to my experience as an AI Engineer, I also have deep knowledge in grant writing, academic publishing, and clinical data analysis, having both written successful NIH and biotech grants and published 10+ manuscripts in high-impact academic journals such as Nature and Gastroenterology. SKILLS: * Extensive Experience with Prompt Engineering with many different LLMs such as OpneAI GPT-4o, Claude 3 Opus, Mistral, Gemini, Llama, Gemma, CodeLama, and Vicuna. * Built 20+ AI dashboards with Streamlit, Gradio, and HuggigngFace for clients to easily access solutions * Created Vector Databases and Retrieval-Augmented Generation Software to train LLMs on personal data such as PDFs, Word Documents, YouTube Videos, Images, and Excel Spreadsheets. * Proficient in leading AI solutions to production using AWS, GitHub, Langchain, LlamaIndex, LangSmith, LangFuse, and other AI tools. * Strong background in programming languages (Python, R, Javascript, SQL) and Data Science/Machine Learning frameworks (TensorFlow, Keras, PyTorch, scikit-learn, numpy, pandas) * Expertise in EHR, ICD-10 codes, clinical database management, clinical data analysis, and HIPAA compliance * Experience with Business Intelligence platforms such as Tableau, PowerBI, and Excel PROJECTS/ACCOMPLISHMENTS: * Co-Founder and CTO of a biotech company, Daldot which was acquired by Nutromics, an Australian MedTech company in 2021 * Developed the AI Algorithm for Shopify App that gained 10K+ users within a month * AI TikTok Influencer with 10K+ followers and 1M+ likes * Columbia University SEAS GSA Black History Month Alumni Spotlight 2023 * 2nd Place in the Columbia University Data Science Institute COVID-19 Data Challenge * Published 10+ manuscripts in high-impact journals such as Nature and Gastroenterology SPEAKING ENGAGEMENTS: * Guest Lecturer at Columbia University, Cornell Tech, Roux Institute, and Founder Institute for entrepreneurship, AI, and freelancing. * Developed a course on emotional intelligence for startup founders at Harvard University with 1,000+ students enrolled. * Presented research at the American Society of Clinical Oncology (ASCO) and Columbia University Data Science Institute Machine Learning in Science & Engineering Conference. EDUCATION: * Master's in Data Science from Columbia University * Bachelor's in Biophysics from Harvard University I have a 100% success rate in provided top-tier solutions across diverse sectors. Whether you need a custom solution or expert guidance, I am committed to leveraging the power of AI to elevate your business to the next level. Let's innovate together!
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