Data Scientist

While the responsibilities of a data scientist can vary from role to role, generally data science is the discipline of making data useful to influence real-world actions. They look for trends, opportunities and hidden weaknesses within the data. Data scientists also communicate their findings to management and recommend cost-effective modifications to current strategies and procedures.

Data science is a relatively new career path and is growing in popularity. Writing a strong data science resume is a necessary step in the job search process. In this article, we’ll provide you with two data science resume samples and break down each section to help you understand what to include in each.

Resume samples (1/2)

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Malik Rabb
Seattle, WA | (123) 456-7891 | mrabb@email.com
Summary
Data Scientist with strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Involved in Python open source community and passionate about deep reinforcement learning.
Education
Coral Springs University
Current - Current
Bachelor of Science in Mathematics
Experience
River Tech, Data Scientist
Jul '19 - Current
  • Built fuzzy matching algorithm using k-nearest neighbors to identify non-exact matching duplicates
  • Designed and developed real time recommendation engine to rank sales leads for upsell opportunities
  • Refined personalization algorithms for 1M+ customers on web and mobile
  • Transformed raw data into MySQL with custom-made ETL application to prepare unruly data for machine learning
Retail Ocean, Data Scientist
Aug '15 - Jul '19
  • Leveraged 200M+ tweets to develop sentiment analysis model that helped improve sales and marketing strategies
  • Used Python and Spark to scrape, clean, and analyze large datasets
  • Helped build tools for detecting botnets with machine learning and data mining
Skills
  • 2nd place at Coral Springs Big Data Hackathon (out of 150+ participants)
  • Java, Python, C++, Hadoop ecosystem, and MySQL
  • Data cleansing, modeling, and mining
  • Machine learning

Resume samples

Malik Rabb
Seattle, WA | (123) 456-7891 | mrabb@email.com
Summary
Data Scientist with strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Involved in Python open source community and passionate about deep reinforcement learning.
Education
Coral Springs University
Current - Current
Bachelor of Science in Mathematics
Experience
River Tech, Data Scientist
Jul '19 - Current
  • Built fuzzy matching algorithm using k-nearest neighbors to identify non-exact matching duplicates
  • Designed and developed real time recommendation engine to rank sales leads for upsell opportunities
  • Refined personalization algorithms for 1M+ customers on web and mobile
  • Transformed raw data into MySQL with custom-made ETL application to prepare unruly data for machine learning
Retail Ocean, Data Scientist
Aug '15 - Jul '19
  • Leveraged 200M+ tweets to develop sentiment analysis model that helped improve sales and marketing strategies
  • Used Python and Spark to scrape, clean, and analyze large datasets
  • Helped build tools for detecting botnets with machine learning and data mining
Skills
  • 2nd place at Coral Springs Big Data Hackathon (out of 150+ participants)
  • Java, Python, C++, Hadoop ecosystem, and MySQL
  • Data cleansing, modeling, and mining
  • Machine learning
Ebony Moore
Austin, TX | (123) 456-7891 | emoore@email.com
Summary
Senior Data Scientist with PhD in computer science and 15+ years of hands-on experience leveraging machine learning models and data mining to uncover insights and drive $1M+ in business growth.
Education
Longford Tech
Current - Current
PhD in Computer Science
Experience
Cloud Clearwater, Senior Data Scientist
Jul '19 - Current
  • Developed multivariate Gaussian anomaly detection algorithm in Python to identify suspicious patterns in network traffic
  • Applied decision tree analysis, using R to predict whether an email is spam
  • Led 4-person team on a data mining project to predict sales in the retail domain
  • Conducted cluster analysis to generate segmented profiles of customers
Tradelot, Data Scientist
Aug '15 - Jul '19
  • Created machine learning models with Python and scikit-learn to predict energy usage of commercial buildings with 98% accuracy
  • Reduced third-party reporting costs by $100K+ per year with machine learning models
  • Developed an algorithm in R that automated financial forecasting
River Tech, Data Scientist
Jan '13 - Aug '15
  • Doubled campaign response rates with predictive models in R
  • Used random forest algorithm to help identify loyal customers and predict the likelihood of customers buying a recommended product
  • Created customized reports in Tableau for data visualization
Skills
  • Python, Hadoop, R, SQL
  • Predictive modeling
  • Quantitative analysis
  • Big data

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