Data scientist

Uses statistics and machine learning to predict, explain and test what reporting alone cannot answer.

189 skill packs · 8 MCP servers · 1 plugin

Role

Product manager Technical product manager Product owner Product operations Program manager Project manager Scrum master or agile coach Software engineer Frontend engineer Backend engineer Full stack engineer Mobile engineer DevOps or site reliability engineer Platform engineer QA or test engineer Security engineer Machine learning engineer Data engineer Engineering manager Solutions architect Game developer Embedded or hardware engineer Data analyst Business analyst Data scientist Analytics engineer BI developer Product analyst Marketing analyst Product designer UX researcher UI or visual designer Graphic designer Content designer or UX writer Brand designer Marketing manager Growth marketer Product marketing manager Content marketer SEO specialist Performance marketer Social media manager Community manager Copywriter Account executive Sales development representative Sales engineer Account manager Customer success manager Customer support agent Partnerships and business development Operations manager Business operations or strategy Revenue operations Supply chain and logistics Procurement Executive assistant Financial analyst Accountant Finance manager or controller Investment analyst Risk analyst Recruiter HR business partner People operations Learning and development Lawyer or in-house counsel Paralegal Compliance officer Privacy officer Founder Executive or general manager CTO or VP of engineering Chief of staff Management consultant Writer or journalist Editor Technical writer Video producer or creator Academic researcher Teacher or educator Student Clinician Healthcare administrator

Industry

All industries SaaS and B2B software Consumer apps E-commerce and retail Fintech and payments Healthcare Marketplaces and platforms Games and live ops Banking and insurance Media and publishing Education Government and public sector Manufacturing and industrial Logistics and transportation Real estate and construction Travel and hospitality Telecommunications Energy and utilities Automotive Biotech and pharma Agencies and consulting Nonprofit Legal services AI and developer tools Crypto and web3

Workflows for this work

The job in 5 areas. Each part is a workflow: open it for its steps and the tools that do each one. Built from occupational data and the field's own body of knowledge; sources at the end.

Data scientist167 skill packs · 39 MCP servers · 6 pluginsEach part is a workflow. The number beside it is how many tools help with it

1Frame the business problem

Turn a business goal into a data question with success criteria and a plan.

2Understand and prepare the data

Explore the data, fix it and collect more where needed.

3Model and test

Build models, test them fairly and run experiments.

4Evaluate and communicate

Check results against the business goal and explain them to decision makers.

5Deploy and maintain

Put results into use, keep them working and use data responsibly.

Sources for this tree, 3

Body of knowledgeIBM SPSS Modeler CRISP-DM Guide (version 18.3): the six CRISP-DM phases and their tasksIBM
Occupational dataData scientist: role description and skillsGovernment Digital Service (UK), Government Digital and Data Profession Capability Framework
Occupational dataData Scientists (15-2051.00), summary report: tasks and detailed work activitiesO*NET OnLine, U.S. Department of Labor

O*NET occupations consulted: 15-2051.00. Read on 2026-10-04.

Everything suggested for this role

Each pick says which of the role's tools or work it matched. Auto-listed means automated checks only.