Data Scientist resume example

Maya Ellery

Maya Ellery · maya.ellery@example.com · Portland, Oregon · Portfolio: mayaellery.example.com

Summary

Data Scientist with experience building predictive models, analytics tools, and data workflows for business teams. Skilled at translating ambiguous questions into measurable analyses and communicating findings clearly. Background in Python, SQL, experimentation, and machine learning.

Experience

Data Scientist — Northwind Logistics

*2022–Present*

• Built a delivery-time prediction model using shipment and route data, helping operations teams identify orders at risk of arriving late.
• Created SQL and Python workflows to combine data from multiple systems and reduce recurring manual preparation for reporting.
• Designed and analyzed operational experiments with product and logistics partners, documenting results and limitations.
• Presented model performance and recommendations to nontechnical stakeholders using concise reports and visualizations.

Data Analyst — Cedar Ridge Retail

*2019–2022*

• Analyzed sales, inventory, and customer data to identify trends and support merchandising decisions.
• Developed dashboards for weekly business reviews, with consistent definitions for key metrics.
• Used customer cohort analysis to investigate repeat-purchase patterns and share findings with marketing teams.
• Improved the reliability of recurring reports by adding data checks and documenting query logic.

Education

M.S. in Applied Statistics — Lakeshore State University, 2019

B.S. in Mathematics — Pine Valley College, 2017

Skills

• Programming and data: Python, SQL, pandas, scikit-learn
• Methods: Regression, classification, forecasting, clustering, experiment analysis
• Visualization: Tableau, Matplotlib, Seaborn
• Practices: Data validation, model evaluation, technical documentation, stakeholder communication

Why this resume works

• Leads with a focused summary that connects technical skills to business needs.
• Uses specific examples of analysis, modeling, and collaboration.
• Describes outcomes and responsibilities without relying on unsupported numerical claims.
• Groups skills so recruiters can quickly scan relevant tools and methods.

Tips for writing a Data Scientist resume

• Tailor your summary and skills to the role, using accurate terms from the job description.
• Describe the problem you worked on, your approach, and the result or decision it supported.
• Include the tools and methods you used in context rather than listing them alone.
• Use numbers only when you can verify them and explain what they represent.
• Keep formatting consistent and make your most relevant experience easy to find.