Data Scientist Resume

Data Scientists perform multiple functions in order to gather, analyze, and interpret Big Data for providing valuable business insights to the organizations. They perform several roles on the job and may work as a software engineer, data miner, data analyst, computer scientist, mathematician, and trend spotter. A well-crafted data scientist resume highlights experience in designing and developing data model, analyzing the data to identify solutions and opportunities, etc. Besides experience, typical skill sets that employers wish to see in the resume are statistics, data visualization extraction, transforming, loading, wrangling, and exploration, including programming language such as Python, and Advanced Machine Learning.

Data Scientist Resume Sample

Francisco J. Borchers
1481 Khale Street
Florence, SC 29501
Phone: 843-620-0635
Email: fjborchers@freemail.com

Professional Summary

Highly motivated, dedicated, experienced Data Scientist with excellent track record in delivering accurate insights through data analytics. Proficient in data processing, data mining, and data visualization. Exceptional talent in Python to build statistical models for business. Holding solid analytical skills with strong attention to detail and ability to work in fast-paced environment.

Summary of Skills

Data extraction, transformation, and loading
Data wrangling and data exploration
Strong statistics and mathematical skills
Experience with Python, SQL, and Advance Machine Learning
Adept at graphical modeling and predictive modeling
Adept at using Big Data Hadoop and its various tools
Big Data Processing Frameworks for developing Deep Learning models

Work Experience

Shantell B. Lowry
883 Zappia Drive
Covington, KY 41011
Phone: 859-386-8990
Email: sblowry@anymail.com

Professional Summary

Data Scientist
ABC Corporation, Covington, KY
August 2017 – Present

Identifying data-analytics problems and determining correct data sets and variables
Conducting data analysis, simulation methods, and statistical analysis
Capturing trends and summarizing data by developing data visualization
Creating and submitting reports on data metrics, trends, outliers
Identifying patterns and trends by analyzing data
Discovering solutions and opportunities by interpreting data
Processing and preparing structured and unstructured data sets for successful modeling

Data Scientist
Hawk Data Mills, Covington, KY
March 2014 - July 2017

Analyzed complex data sets and reduced costs and improved customer experience
Creates systems in Python that helped in gathering, extracting, and building data from multiple sources
Contributed to the development and deployment of computing systems for fast data extraction and processing
Reviewed and debugged large code bases to clean and analyze complex datasets
Performed quantitative and qualitative analysis of business data
Cleaned and validated data to ensure completeness, uniformity, and accuracy

Data Scientist
Tenet Analytics, Covington, KY
November 2011 – February 2014

Prioritized strategic business and technical decisions with the help of data extraction
Identified most appropriate use of data science for projects in pipelines
Supported effective business decisions by automating complex data collection and analysis
Collaborated with the development team to identify and address data-related issues
Evaluated accuracy, completeness, and quality of data
Developed and maintained statistical models with concentration on Big Data-analytics
Explored, assessed, and validated utility of additional data sources

Education

Bachelor of Science in Mathematics
Intelligent University, Covington, KY
2009

Diploma in Python Programming
Intelligent University, Covington, KY
2010

Reference

On request.