Data Scientist Job Description Template

Use this Data Scientist job description template to advertise the open roles for free using You can use this template as a starting point, modify the requirements according the needs of your organization or the client you are hiring for.

Data Scientist Job Description Template


Job Brief

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.


  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams


  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

What does Data Scientist do?

A Data Scientist has a diverse set of responsibilities that can vary based on the specific role and industry. However, here are some common tasks that a Data Scientist may perform on a day-to-day basis:

  1. Data collection and preprocessing: Data Scientists often gather data from various sources, clean and format it, and prepare it for analysis.

  2. Exploratory data analysis: They conduct an initial exploration of the data to gain insights and understanding. This involves visualizing data, calculating summary statistics, and detecting patterns or outliers.

  3. Statistical analysis and modeling: Data Scientists use various statistical techniques to analyze the data. This includes developing and applying machine learning models, conducting regression analysis, clustering, or other statistical techniques to extract meaningful patterns, trends, and predictions.

  4. Data visualization: They create visual representations of the data using tools like matplotlib, seaborn, or Tableau to effectively communicate insights and findings to stakeholders.

  5. Feature engineering and selection: Data Scientists work on identifying and extracting important features from the data that are relevant to the problem at hand. They may also use techniques to reduce the dimensionality of the data to improve model performance.

  6. Model evaluation and validation: Data Scientists assess the performance of their models by using various metrics and techniques (e.g., cross-validation, AUC-ROC, accuracy). They iterate on their models, adjust parameters, or try different algorithms to improve model effectiveness.

  7. Collaboration and communication: They often collaborate with cross-functional teams, such as data engineers, business analysts, and software developers. Data Scientists are expected to effectively communicate their findings, insights, and recommendations to both technical and non-technical audiences.

  8. Keeping up-to-date with industry trends: Data Scientists continually expand their knowledge and skills by staying up-to-date with the latest research, tools, and techniques in the field of data science. This may involve reading research papers, attending conferences, or participating in online communities.

It's worth noting that these tasks may not be exhaustive, and the actual day-to-day responsibilities can vary greatly depending on the company, project, and individual preferences of the Data Scientist.

Data Scientist Job Description Examples

Senior-Data Scientist• Regular

Join AT&T and reimagine the communications and technologies that connect the world. We’re committed to those who seek to discover the undiscoverable and dare to disrupt the norm. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future –...

Read more
Data Scientist- Sales Operations / Tableau• Apple

SummaryPosted: Oct 27, 2022...Role Number:200439592

JOB SUMMARYAt Apple, we work every day to build products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power ...

Read more
Data Scientist• General Atomics

General Atomics (GA), and its affiliated companies, is one of the world’s leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

General Atomics Electromagnetic Systems (GA-EMS) designs and manufactures first-of-a-kind electromagnetic and......

Read more
Data Scientist Ii• Kforce Inc


A Kforce client is seeking to hire a Data Scientist II in Englewood, Colorado (CO). Responsibilities include...• Establish a source of truth consensus and deliver data to the users in a way that helps them make intelligent data-backed decisions• Develop and execute statistical and mathematical solutions to core business problems• Data Scientist will extract, clean, manipula...

Read more
Find candidate emails
on Linkedin

Gather verified email addresses & phone numbers directly from LinkedIn, reach out, and see when candidates open your emails.

Get Started Free