Data Scientistsresume guide.
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming A strong Data Scientists resume shows mathematics, critical thinking and reading comprehension, and names the tools you have worked with, such as Microsoft Access, Structured query language SQL and Microsoft SQL Server.
See how a parser reads your resumeFree, no card→01Also called
O*NET02Skills employers expect
O*NETImportance is how much the skill matters to the job; level is how much of it the job demands. Both are worth naming on the resume, in this order.
| Skill | Importance | Level |
|---|---|---|
| Mathematics | Very high | Advanced |
| Critical Thinking | Very high | Advanced |
| Reading Comprehension | High | Advanced |
| Complex Problem Solving | High | Advanced |
| Active Learning | High | Advanced |
| Speaking | High | Intermediate |
| Active Listening | High | Intermediate |
| Writing | High | Advanced |
| Judgment and Decision Making | High | Advanced |
| Monitoring | High | Intermediate |
03Knowledge areas
O*NET- Mathematics
- Computers and Electronics
- English Language
- Engineering and Technology
- Education and Training
- Communications and Media
- Administration and Management
- Design
04Common responsibilities
O*NETOrdered by importance. Each one is a bullet waiting for a result and a number.
- Analyze, manipulate, or process large sets of data using statistical software.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Recommend data-driven solutions to key stakeholders.
- Identify business problems or management objectives that can be addressed through data analysis.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
05Software and tools
O*NET87 tools across 25 categories. The six largest categories are below; Hot marks a hot technology, In demand a tool employers ask for most often.
- Microsoft AccessHotIn demand
- Structured query language SQLHotIn demand
- Microsoft SQL ServerHotIn demand
- Amazon Web Services AWS softwareHotIn demand
- Amazon RedshiftHotIn demand
- PyTorchHotIn demand
- Amazon Elastic Compute Cloud EC2Hot
- pandasIn demand
- PySparkIn demand
- NumPyIn demand
- BigQuery
- Neo4j
- PythonHotIn demand
- C++HotIn demand
- RHotIn demand
- Oracle JavaHotIn demand
- PerlHotIn demand
- C#HotIn demand
- ScalaHotIn demand
- Jupyter software
- SciPy
- Shiny
- spaCy
- CHotIn demand
- Microsoft Azure softwareHotIn demand
- GoHotIn demand
- Apache KafkaHotIn demand
- RubyHot
- Scikit-learnIn demand
- OpenAI ChatGPT
- Flask
- Julia
- XGBoost
- SASHotIn demand
- The MathWorks MATLABHotIn demand
- IBM SPSS StatisticsHotIn demand
- TensorFlowHotIn demand
- StataCorp StataIn demand
- Statistical softwareIn demand
- Mathematical software
- Kubeflow
- Mlflow
- TableauHotIn demand
- Microsoft Power BIHotIn demand
- Apache SparkHotIn demand
- Alteryx softwareHotIn demand
- Google Looker AnalyticsHotIn demand
- Qlik Tech QlikView
- Business intelligence software
- MapReduce big data software
- Apache HadoopHotIn demand
- NoSQLHotIn demand
- MongoDBHotIn demand
- Teradata DatabaseHot
- Apache HiveHot
- Apache CassandraHot
- ElasticsearchHot
- Apache Pig
- GitHubHotIn demand
- DockerHotIn demand
- KubernetesHotIn demand
- Splunk EnterpriseHotIn demand
- Amazon Web Services AWS SageMakerIn demand
- Google Cloud software
- JavaScriptHotIn demand
- JavaScript Object Notation JSONHotIn demand
- RESTful APIIn demand
- Atlassian JIRAHotIn demand
- Reporting softwareIn demand
- SnowflakeHotIn demand
- Jenkins CIHotIn demand
- Management information systems MIS
- GitHotIn demand
- Geographic information system GIS systemsIn demand
- Apache MXNet
- PostgreSQLHotIn demand
- Microsoft Office softwareHotIn demand
- Microsoft PowerPointHotIn demand
- Apache AirflowHotIn demand
- Atlassian ConfluenceHotIn demand
- Microsoft ExcelHotIn demand
- Amazon Simple Storage Service S3
06Education and preparation
O*NET07Putting it on your resume
ResumeXRays guidanceLead with what you built. For a Job Zone 4 role, hiring managers and parsers both look for outcomes before credentials. Put two or three results at the top of each job entry, with the scale or effect stated plainly.
Name the tools exactly. This occupation is heavy on named software. A skills section that says "Microsoft Access, Structured query language SQL, Microsoft SQL Server, Amazon Web Services AWS software" matches more job descriptions than a general phrase. Use the spelling employers use.
Show critical thinking and reading comprehension, not just mathematics. Critical thinking and reading comprehension rank close to mathematics for this occupation. One bullet per role that shows a decision, a tradeoff or a result covers them.
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