Data scientist resume template (ATS-friendly)

A data scientist resume that connects models and experiments to money saved and revenue gained, which hiring managers look for first.

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What this template includes

Model metrics (AUC, accuracy) paired with business impact
Experimentation and causal inference experience up front
Data stack listed for keyword matching: Spark, dbt, Snowflake
Public project that shows end-to-end work

Sample data scientist resume

Priya Raman

Data Scientist · Machine Learning & Experimentation

Summary

Data scientist with 5 years of experience turning messy data into models and experiments that move revenue. Strong in Python, SQL and causal inference, with a track record of shipping ML to production with engineering teams.

Experience

Senior Data Scientist, Northwind Retail (Jan 2022 – Present)

Built a gradient-boosted demand forecasting model that cut stock-outs by 18% across 1,400 stores
Designed a pricing experiment framework used by 6 teams, running 70+ A/B tests a year
Launched a churn prediction model (AUC 0.87) that powers retention offers, saving $3.2M in annual revenue
Reduced feature pipeline runtime from 6 hours to 40 minutes by moving to Spark on Databricks

Data Scientist, Mediaflow (Jun 2019 – Dec 2021)

Developed a content recommendation model that increased average watch time by 9% for 2M users
Automated weekly KPI reporting in Airflow and Looker, freeing 15 analyst hours a week
Partnered with marketing on a media-mix model that reallocated $1.5M of spend to higher-ROI channels

Skills

Languages: Python, SQL, R
ML & stats: scikit-learn, XGBoost, PyTorch, causal inference, A/B testing, time-series forecasting
Data: Spark, Databricks, Airflow, dbt, Snowflake, BigQuery, Looker, Tableau

Projects

Open NYC Rent Index

Built a public rent-price index from 3M listings; featured in 2 local news outlets

Education

M.S., Statistics, Columbia University (2017 – 2019)

B.Sc., Mathematics, University of Delhi (2014 – 2017)

Top skills for data scientists

Python
SQL
Machine learning
scikit-learn
XGBoost
PyTorch
Statistics
A/B testing
Causal inference
Time-series forecasting
Spark
Databricks
Airflow
Snowflake

Data Scientist resume summary examples

M.Sc. statistics graduate with internship experience building classification and forecasting models in Python. Comfortable with SQL, scikit-learn and A/B test analysis, and looking for an entry-level data scientist role.

Data scientist with 5 years of experience turning data into models and experiments that move revenue. Strong in Python, SQL and causal inference, with a track record of shipping ML to production with engineering teams.

Data analyst moving into data science after 4 years of SQL and BI work in e-commerce. Has built and deployed 2 machine learning models in Python, combining business context with statistical modelling.

Data Scientist resume bullet point examples

Built a customer lifetime value model in Python that redirected 20% of acquisition spend to higher-value segments
Designed and analysed 40 A/B tests a year with CUPED variance reduction, cutting required sample sizes by 30%
Deployed a fraud scoring model (precision 0.92) that blocked ₹4 Cr in fraudulent orders in its first year
Reduced model training time from 5 hours to 35 minutes by moving feature engineering to Spark
Created an uplift model for discount targeting that kept conversions flat while cutting discount costs by 18%

Frequently asked questions

Should I list model accuracy on my resume?

Yes, but pair it with the business result. "AUC 0.87" means more to a hiring manager when followed by "saving $3.2M in annual revenue".

Do I need publications or Kaggle results?

They help for research-leaning roles. For product data science roles, shipped models and experiments with measurable impact matter more.

What skills do ATS systems search for in data science?

Usually Python, SQL, machine learning, statistics, A/B testing and specific tools such as Spark, Airflow, Snowflake or Tableau. Use the exact names from the job post.

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