Data Scientist Job Description Sample - Free Template

A Data Scientist is someone who works in the software engineering department with an organization. They are professionals who use the analysis of internal and external data points to help direct business and prove a thesis. A Data Scientist is an integral role in understanding the needs of customers and projecting future successes of business decisions.

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Data Scientist Job Description Sample

Our team is seeking a highly motivated Data Scientist to help develop and scale our mathematical models to accurately predict our product roadmap and customer interactions. These models may include revenue formulas that help us to adust for risk and produce accurate year-over-year forecasts for our executive team and board members. A great Data Scientist is someone who use all tools at their disposal to ensure the integrity of our use cases and ensure's that data is being utilized to the fullest to answer complex problems.

Data Scientist Salary

The national average salary is provided by The Bureau of Labor, which is a division of the U.S. Department of Labor. In 2018, the median pay for a Data Scientist position in the U.S. was $96,100 annually.

Data Scientist Job Description For Resume

Bachelor's Degree. 5+ years in a programming position. Highly complicated "R" models developed. Comfortable querying all popular database types, including no-SQL database types.

Data Scientist Skills

  • Programming skills
  • Analytical skills
  • Curiosity skills
  • Verbal communication skills
  • Passionate
  • Problem solving skills
  • Analysis skills

Data Scientist Duties & Responsibilities

  • Take complex problems as directed by the executive members and turn them into classifiers and machine learning techniques for data science purposes.
  • Continually read scientific papers and white papers to ensure our team is up to date on current data science methods.
  • Continually analyze our existing data science models for leaks, loop holes or other fractions in the system.
  • Integrate data science visuals to help our team comprehend the information data is providing us. This includes using libraries such as D3.js and Leaflet.js
  • Collect and analyze user interactions, user feedback and data from Google Analytics to inject into our models.
  • Communicate effectively across a wide variety of disciplines and act as an internal consultant to teams.
  • Report data science findings on a regular basis (weekly, monthly, annually).

Data Scientist Requirements

  • 3-5 years in a previous Data Science role
  • Proficient with R, Python, Ruby, MySQL, PostgreSQL, and many more types of programming languages and database types.
  • Working knowledge of all HTML, CSS and JavaScript functions.
  • Bachelors degree in Computer Science a plus.
  • Ability to work alongside other engineers in GitHub or other types of version control systems.
  • Ability to understand machine learning techniques such as K-NN, Naive Bayes, VM, Decision Forests and much more.
  • Believe anything can be solved with enough effort and enough data.
data scientist job description

data scientist job decription free template and download

Data Scientist Job Description Template

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Using a Job Description Template

Follow these instructions to use a job description template:

Job Description Format

Follow the format below when writing a job description.

Job Title:
[Job Title]

[Job Summary/Job Brief]

Responsibilities and Duties:
  • [List 4-5 essential functions of the job role]
Requirements:
  • [List 5+ qualifications including education level, experience level, key skills, and expectations of the job function]
(Optional) Work Environment:
  • [LIst 2-5 characteristics, traits, and other requirements of the role]
  • [If physical requirements are necessary, include reasonable accommodation details]
This role and job position will report directly to [Job Title] who leads [Department Name].

For more information on writing a job description, visit this resource.

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author: patrick algrim
About the author

Patrick Algrim is an experienced executive who has spent a number of years in Silicon Valley hiring and coaching some of the world’s most valuable technology teams. Patrick has been a source for Human Resources and career related insights for Forbes, Glassdoor, Entrepreneur, Recruiter.com, SparkHire, and many more.

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