Data Scientist, Online

Position Purpose

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry‑leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Depending on the specific data science team, the role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

• 55% Solution Development – Design and develop algorithms and models to use against large datasets to create business insights; participate in large data analytics project teams by serving as a technical lead; may lead small projects and work independently; execute tasks with high efficiency and quality; make appropriate selection, utilization and interpretation of advanced analytical methodologies.
• 20% Communicating Results – Effectively communicate insights and recommendations to both technical and non‑technical leaders and business customers/partners; present recommendations confidently to influence execution; prepare reports, updates and presentations related to project progress; clearly communicate impacts of recommendations to drive alignment and implementation.
• 10% Business Collaboration – Incorporate business knowledge into solution approach; develop trust and collaboration with internal customers and cross‑functional teams; work with project teams and business partners to determine project goals.
• 15% Technical Exploration & Development – Seek further knowledge on key developments within data science and technical skill sets; participate in continuous improvement by developing replicable solutions (e.g., codified data products, project documentation); build and maintain library of reusable algorithms; ensure developed codes are documented.

• This position typically reports to Manager or above.
• This position has 0 direct reports.

• Typically requires overnight travel less than 10% of the time.

• Most of the time is spent sitting in a comfortable position with frequent opportunity to move. On rare occasions there may be a need to move or lift light articles.

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

• Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
• 4+ years of experience in business intelligence and analytics.
• Working knowledge of Microsoft Excel and Power Point.
• Experience in a modern scripting language (preferably Python).
• Proficient running queries against data (preferably with Google Big Query or SQL).
• Proficient with data visualization software (preferably Tableau).
• Proficient utilizing statistical techniques to identify key insights that help solve business problems.
• Knowledgeable in prescriptive modeling such as optimization, computer vision, recommendation, search or NLP.
• Demonstrated experience in predictive modeling, data mining and data analysis.

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

No additional education.

3

No additional years of experience.

None.

None.

None.

• Action Oriented:
  Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Business Insight:
  Applying knowledge of the business and the marketplace to advance the organization's goals.
• Collaborates:
  Building partnerships and working collaboratively with…