Senior Data Scientist - Retail Analytics

About the position

Leads development of insights from data in order to solve complex business problems and support decision making through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Leads and participates in complex projects of strategic importance involving cross-functional teams, in support of the organization's overall analytics strategy. Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry. Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Use strong programming skills to explore, examine and interpret large volumes of data in various forms.

Responsibilities

• Leads development of insights from data to solve complex business problems.
• Supports decision making through data preparation, modeling, analysis, and visualization techniques.
• Leads and participates in complex projects of strategic importance.
• Develops and uses algorithms and statistical predictive models.
• Performs analyses of structured and unstructured data.
• Collaborates with business partners to understand their problems and goals.
• Develops predictive modeling, statistical analysis, data reports, and performance metrics.
• Develops and participates in presentations and consultations on analytics results.
• Interacts with internal and external peers to exchange complex information.
• Investigates problems, detects patterns, and recommends solutions using algorithms and predictive models.
• Explores, examines, and interprets large volumes of data using programming skills.

Requirements

• 3+ years of relevant analytic experience.
• 3+ years of experience programming using Python.
• 3+ years of experience in SQL.

Nice-to-haves

• Demonstrates strong ability to communicate technical concepts to business partners.
• Anticipates and prevents problems and roadblocks before they occur.
• Strong knowledge of advanced analytics tools and languages.
• Demonstrates proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs.
• Education assistance.
• Free development courses.
• CVS store discount.
• Paid Time Off (PTO) or vacation pay.
• Paid holidays throughout the calendar year.