Data Scientist Job Description

Data Scientist Job Description

The job description of a data scientist continues to evolve with technology but involves communicating data findings to both technology leaders and business managers to help an organization meet a business challenge. The data scientist explores information from not just one source, but from multiple sources in order to gain maximum insight that can give the company a competitive advantage.

Position Description

A data scientist spends long hours collecting and analyzing data to spot trends and help a company face the challenges of an evolving customer base and changing marketplace.

Essential Duties and Responsibilities of a Data Scientist

  • Identifies unique opportunities to collect new data.
  • Designs new processes and builds large, complex data sets.
  • Strategizes new uses for data and its interaction with data design.
  • Locates new data sources, analyzes statistics and implements quality procedures.
  • Performs data studies of new and diverse data sources.
  • Finds new uses for existing data sources.
  • Conducts statistical modeling and experiment design.
  • Discovers “stories” told by the data and presents them to other scientists and business managers.
  • Tests and validates predictive models.
  • Builds web prototypes and performs data visualization.
  • Conducts scalable data research on and off the cloud.
  • Implements automated processes for efficiently producing scale models.
  • Designs, modifies and builds new data processes.
  • Generates algorithms and creates computer models.
  • Collaborates with database engineers and other scientists.
  • Implements new or enhanced software designed to access and handle data more efficiently.
  • Trains the data management team on new or updated procedures.

Required Knowledge, Skills and Abilities

  • Possesses a working knowledge of statistics, programming and predictive modeling.
  • Demonstrates excellent code writing abilities.
  • Has strong critical thinking skills and the ability to relate them to the products or services the company is producing.
  • Displays understanding of and ability to use programming languages like Python and SQL (Structured Query Language).
  • Shows strong knowledge of basic and advanced prediction models.
  • Possesses a combination of creative abilities and business knowledge.
  • Has data mining knowledge that spans a range of disciplines.
  • Displays superior technical coding abilities.
  • Possesses strong exploratory analysis skills.
  • Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
  • Has the ability to think and research creatively.
  • Displays exceptional organizational skills and is detail oriented.
  • Possesses a mastery of statistics, machine learning, algorithms and advanced mathematics.

Education and Experience

  • Bachelor’s degree in computer science.
  • Master’s degree in business analytics or an advanced computer programming field.
  • Doctorate degree in statistics or physics.
  • Previous experience working in data mining or natural language processing.

Work Environment

  • Works normal business hours of 8:00a.m. to 5:00p.m. Monday through Friday, but may work longer hours when faced with a project deadline.
  • Has opportunities to work at home on a regular basis.
  • Spends long hours looking at computer screens or reports and reviewing data.
  • Spends time in board rooms or auditoriums performing presentations associated with data research and conclusions.


  • Salaries for data scientists range from $80,000 to $150,000 depending on experience, level of education and knowledge of languages and programs.

Create your own professional looking resume for free using our resume builder!