Data Scientist, Pricing

HF Sinclair•Dallas, TX

22h•Onsite

About The Position

The Data Scientist works on price optimization and opportunity identification leveraging forecasted outcomes from market fundamentals and internal supply/demand signals. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increase efficiency and improve decision-making frameworks. They will assist in the development of the Pricing Advanced Analytics Infrastructure that informs decision making and drives improvements to the Pricing Strategy. The Data Scientist is expected to seek out opportunities to leverage data science as a competitive advantage. The Data Scientist will apply advanced econometric and analytical methods and algorithms to identify insights and provide business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, the Data Scientist will collaborate with cross-functional teams, requiring effective communication skills, relationship-building, and a strong focus on understanding the overall business being supported.

Requirements

Proficient in Python and SQL
Mastery utilizing statistical techniques to identify key insights that help solve business problems
Demonstrated proficiency in predictive modeling techniques such as optimization, forecasting, or recommendation engines
Demonstrated proficiency in data mining, exploratory data analysis, and predictive modeling

Nice To Haves

Experience with pricing software and systems.

Responsibilities

Design and develop algorithms and models to use against large datasets to create Pricing insights
Participate in large data analytics project teams by serving as a technical lead for Pricing
May lead small projects and work independently on solution development
Execute tasks with high levels of efficiency and quality
Make appropriate selection, utilization and interpretation of advanced econometric and analytical methodologies
Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
Present recommendations in a confident manner in order to influence the execution of recommendations
Prepare reports, updates and/or presentations related to progress made on a project or solution
Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
Incorporate business inputs into solution approach
Effectively develop trust and collaboration with internal customers and cross-functional teams
Seek further knowledge on key developments within econometrics, data science, technical skill sets, and additional data sources
Build and maintain library of reusable analytics for future use, ensuring methodologies are documented