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Data Scientist Resume Example & Writing Guide

  • Why use this Data Scientist resume example?
  • How to write a great Data Scientist resume?
  • Which key skills are relevant for a Data Scientist resume?
  • Data Scientist resume example

Data scientists typically require a bachelor’s degree in computer science or data science, and sometimes a master’s degree. These professionals use various statistical and machine learning techniques and scientific methods to analyze data and identify patterns, trends, and relationships. They collect and organize data to help an organization make better-informed decisions. If you are ready to take that next step in becoming a data scientist, use our data scientist resume example and writing guide to get you there quickly.

Why use this Data Scientist resume example?

If you are looking to write the perfect data scientist resume, then look no further than our resume example and writing guide. This reliable guide will ensure your resume has a consistent format, font, and style, making it more visually appealing and easy to read. 

Our data scientist resume example and writing guide will show you how to create a professional-looking resume that details your accomplishments in a professional and polished manner. Keep reading to learn the benefits of using our guide.

How to write a great Data Scientist resume?

To write a great data scientist resume that will grab the attention of recruiters and hiring managers, you must use industry-specific keywords generally found on the job description. Optimizing your resume with these keywords will ensure your resume passes any applicant tracking systems (ATS) as part of a company’s initial screening process. 

It’s important to highlight your skills and experience, quantifying your accomplishments with specific data whenever possible (dollars saved, time reduced, efficiency improved). Be sure to list your work history in reverse chronological order using bullet points to enhance readability.

By listing your formal education as well as related coursework and certifications, a hiring manager will see that you’re properly trained for this field. It will also demonstrate your commitment to ongoing professional development.  

Which key skills are relevant for a Data Scientist resume?

  • Data/statistical analysis

  • Programming skills

  • Time management

  • Machine learning

  • Data visualization

  • Communication

  • Problem solving

Data Scientist resume example


Summary example

Accomplished professional offering proven ability to execute all aspects of data analytics and apply data science methods to extract key insights from structured and unstructured data. Highly skilled in building CRM data models in Informatica Cloud and writing SQL queries to integrate data from SAP, SQL Server, and other sources. Perform in-depth data quality analysis with Python and stored procedures. Correct issues by optimising integration jobs and data loader. Expertise in analysing data sources and using Tableau to conduct advanced blending to analyse cohorts, year-over-year growth, and year-to-date results. Able to predict customer lifetime value, forecast churn, and optimise campaigns using machine learning, statistical analysis, and language processing.

Employment history example

Lead Data Analyst at Infosys, Toronto, Ontario & Bangalore, India.


Promoted to Lead Data Analyst with major multinational corporation providing consulting, IT, and outsourcing services to diverse clients.

  • Expertly analysed and segmented 3K transactional accounts in Salesforce using python; wrote ETL scripts in Informatica Cloud to split accounts based on business functionality; and created python scripts to automate data cleaning, validation, and de-duplication, reducing errors by 25%.

  • Improved user experience by training model to predict duplicate questions with 72% accuracy using natural language processing (NLP), advanced feature engineering, fuzzy matching, and sklearn machine learning (ML) pipelines.

  • Analysed textual data from products in user-curated collections using NLP and clustering to identify customer buying behavior.

Salesforce Data Analyst at Infosys, Brazil and Bangalore India.


Performed complex data for key projects.

  • Used SQL and SOQL to extract, analyse, and interpret ~2.5M data points; defined key metrics and visualised data using Excel and Tableau dashboards.

  • Enhanced demand forecasting and streamlined data flow for 10+ interfaces using Informatica Cloud, cleaning and correlating 20K+ customer data records with $5M in sales using python and sales analytics.

  • Created predictive models to prioritise campaigns and project customer lifetime value in collaboration with senior management.

Education example

Bachelor of Technology, Electrical & Electronics Engineering at Mahatma Gandhi University, Kerala India.

Skills example

  • SQL, Tableau, Einstein Analytics

  • Machine learning, Tensor Flow

  • Predictive Modelling

  • Natural Language Processing

  • Data Wrangling, Business Analysis

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