A Data Scientist collects, analyzes and interprets insights from big data by applying mathematical, programming and problem solving skills. As organizations keep generating large volumes of data which can rarely be used to find patterns and extracting value on a surface level, the role of a data scientist becomes increasingly crucial to understanding data at a deeper level, find patterns and extract insights to help the organization identify new opportunities and improve existing products or services.

Use this data scientist job description template to advertize your open role and attract in-demand data scientists. Tailor this template according to the specific needs of your marketing department.

Data Scientist Job Description

At [Company X], our data-driven culture empowers us to create products and experiences that give us the edge over our competitors. We are seeking an experienced data scientist to collect, analyze, manage and extract actionable insights from data to continuously identify new opportunities and improve our existing products. The ideal candidate must have mathematical and statistical expertise, excellent programming skills along with a naturally curious and creative mindset. This person will be relied on to deliver daily insights, asking the right questions and connecting the dots to uncover hidden opportunities and create new visions for the future.

Roles and responsibilities

Own the data strategist role by identifying valuable data sources and integrating them into our technology to enhance product capabilities while working with the engineering team to develop new products and features
Automate data collection process and undertake preprocessing of structured and unstructured data
Build machine learning algorithms and predictive models, perform data and error analysis to improve them and validate output for accuracy
Propose new solutions and strategies by building hypothesis and executing analytical experiments in collaboration with software developers that solve real business scenarios
Analyze data to find trends and patterns, interpret the insights on new opportunities and present them to senior leaders by leveraging data visualization techniques

Required skills and qualifications

BSc/BA in Computer Science, Engineering or relevant field
Proven experience of 5-7 years as a data scientist or data analyst
Proficient in data mining, mathematics, and statistical analysis
Experience with programming languages such as R, SQL and Python and data frameworks such as Hadoop
Excellent in Excel, PowerPoint and Tableau
Ability to work on concurrent projects while collaborating with multiple teams