Résumé keywords · Oct 2026
Data Scientist résumé keywords
We read 189 open Data Scientist job posts from 47 companies. The skills and tools they ask for most: Python (78%), Machine Learning (72%), SQL (63%).
- Posts ask for skills more than specific tools — 10 of the top 10 keywords are skills or domains.
- Employers also stress collaboration (73% of posts) and communication (61%) — show them through results, not adjectives.
- Waymo stands out: its Data Scientist posts mention Deep Learning and Data Analysis far more than the average.
- O*NET flags Amazon Web Services AWS, Apache Hadoop, Apache Spark as in demand for this occupation.
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The top 30 Data Scientist keywords
Skills, tools and domains — share of job posts that mention each at least once. Soft skills are listed under “By type”.
Must-havein half or more of posts
- Python78%
- Machine Learning72%
- SQL63%
- A/B Testing51%
Commonin 25–49% of posts
- Statistics48%
- R30%
Worth havingin 10–24% of posts
- LLM24%
- Data Analysis24%
- Data Structures20%
- Analytics20%
- Forecasting19%
- Marketplace15%
- Generative AI15%
- Deep Learning13%
- PyTorch13%
- Apache Spark11%
- Healthcare10%
- Data Engineering10%
- Logistics10%
By type
Skills
- Python 78%
- Machine Learning 72%
- SQL 63%
- A/B Testing 51%
- Statistics 48%
- R 30%
- LLM 24%
- Data Analysis 24%
- Data Structures 20%
- Forecasting 19%
- Generative AI 15%
- Deep Learning 13%
- Data Engineering 10%
- ETL 8%
Tools & software
- PyTorch 13%
- Apache Spark 11%
- TensorFlow 8%
- scikit-learn 7%
- Looker 6%
Soft skills
- Collaboration 73%
- Communication 61%
- Stakeholder Management 44%
- Leadership 37%
- Mentoring 19%
- Ownership 17%
- Adaptability 16%
- Problem Solving 10%
- Strategic Thinking 7%
Domain knowledge
- Analytics 20%
- Marketplace 15%
- Healthcare 10%
- Logistics 10%
- Payments 7%
- Fintech 7%
- SaaS 7%
What hiring companies emphasise
Companies with the most open Data Scientist roles in our sample, and the terms they mention more than the average post.
Waymo
17 open roles
Deep Learning · Data Analysis · Machine Learning
Anthropic
14 open roles
Logistics · LLM · Analytics
Pinterest
14 open roles
A/B Testing · Forecasting · Statistics
Lyft
13 open roles
Marketplace · Statistics · Data Structures
Reddit
9 open roles
Healthcare · A/B Testing · Statistics
Figma
8 open roles
Forecasting · LLM · R
Scale AI
8 open roles
Full Stack · Generative AI · Machine Learning
Databricks
6 open roles
Excel · Deep Learning · PyTorch
How to put these keywords in your résumé
A keyword counts most inside a bullet that proves it — an action, the tool, and a result. Real bullets from our example résumés:
- Python
Modelled customer lifetime value in SQL and Python, guiding a 20% shift of ad budget to high-value segments.
From the Data Analyst example · Ledger template → - SQL
Automated 10 recurring reports with SQL and Airflow, saving 15 hours a week.
From the Data Scientist example · Pipeline template → - A/B Testing
Designed an experimentation platform that ran 150 A/B tests a year with consistent guardrail metrics.
From the Data Scientist example · Pipeline template → - R
Wrote reproducible R pipelines adopted by 4 researchers in the department.
From the Data Scientist example · Pipeline template → - Forecasting
Built a demand-forecasting model in PySpark that cut stockouts by 22% across 8,000 products.
From the Data Scientist example · Pipeline template → - Marketplace
Won 3 marketplace logos in Germany and the Nordics by running technical pilots with their engineering teams.
From the Account Executive example · Slate template →
The occupation: Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Most important skills (O*NET, 1–5)
- Mathematics4.4
- Critical Thinking4.3
- Reading Comprehension3.9
- Speaking3.6
- Active Learning3.6
- Active Listening3.5
- Writing3.5
- Monitoring3.3
In-demand technology
Software O*NET flags for this occupation as in demand by employers or “hot” across job postings.
- Amazon Web Services AWS
- Apache Hadoop
- Apache Spark
- C++
- Git
- Microsoft Azure
- Microsoft Excel
- Microsoft Power BI
- Microsoft PowerPoint
- Python
- PyTorch
- R
- SAS
- Snowflake
- Structured query language SQL
- Tableau
Data Scientist résumé keyword questions
- What keywords should a Data Scientist résumé include?
- The skills and tools Data Scientist job posts mention most are Python (78%), Machine Learning (72%), SQL (63%), A/B Testing (51%), Statistics (48%), R (30%), LLM (24%), Data Analysis (24%), Data Structures (20%), Analytics (20%) — based on 189 open posts at 47 companies (Oct 2026). Include the ones you genuinely have, in your skills section and in the bullets that prove them.
- Which tools do Data Scientist job posts ask for?
- Most often: PyTorch (13% of posts), Apache Spark (11% of posts), TensorFlow (8% of posts), scikit-learn (7% of posts), Looker (6% of posts).
- Which soft skills matter for a Data Scientist?
- Job posts mention collaboration (73%), communication (61%), stakeholder management (44%), leadership (37%), mentoring (19%). Show them through results in your bullets rather than listing them.
- Should I add every keyword to my résumé?
- No. Add a keyword only if it's true for you — then show it in a bullet with a result. Applicant tracking systems match keywords, but a recruiter reads the résumé next, and unsupported buzzwords cost interviews.