Basic FunctionThe 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.
Job Duties- Solution Development - 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
- Communicating Results - 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
- Business Collaboration - Incorporate business inputs into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams
- Technical Exploration & Development - 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
ExperienceThree to five years of related work experience is required, depending on education level.
Education LevelA minimum of a PhD in Economics, Computer Science, Statistics, or a related field is required.
Required Skills- 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
PREFERRED SKILLS: Experience with pricing software and systems.
Supervisory/Managerial ResponsibilityMay be required to provide work direction to entry level financial analysts.
Work ConditionsOffice based.
Physical RequirementsJob conditions require sitting, talking or hearing, making visual inspections, making precise hand and finger movements, reaching or grasping, and perceiving color differences. Job conditions may require standing, walking, twisting, stooping, crouching, and kneeling.
BenefitsHF Sinclair offers a comprehensive benefits package designed to support the well-being of our employees and their families. Our benefits include, but are not limited to, the following:
- Medical Insurance
- Vision Insurance
- Dental Insurance
- Paid Time-Off
- 401(k) Retirement Plan with match
- Educational Reimbursement
- Parental Bonding Time
- Employee Discounts
We are committed to fostering a supportive and inclusive work environment, ensuring our employees have the resources needed to thrive professionally and personally. Benefit eligibility is governed by official plan documents, for more details visit Total Rewards.
