Manager Advanced Analytics & Data Science

We are one of the nation’s largest sporting goods retailers, and we take pride in creating a workplace environment that values hard work, commitment, and growth!! We are looking for an experienced Manager Advanced Analytics & Data Science to join our team onsite!

*Competitive Salary
*Excellent Benefits
*Sign on Bonus
*Yearly Bonus Potential
*401k
*Relocation Assistance and More!

The Data Science Analytics Manager will have over 8 years experience in in advanced analytics, data science within a B2C or retail environment. The manager will have hands on experience leading a team of data science analysts, and data scientists.

Requirements:

• 8+ years of experience in in advanced analytics, data science, or related roles
• 2+ years experience in the retail or B2C industry
• 4 years experience managing a team
• Hands-on experience in developing dashboards, automating data processes, validating data integrity, and building scalable analytical solutions, preferably in an ecommerce or retail setting
• High proficiency in using programming languages like Python, SQL, and BI tools like Tableau/Power BI, Looker, MicroStrategy
• Ability to drive innovation and stay current with emerging technologies related to advanced analytics
• Proficient in using any one of the cloud technologies - GCP, AWS, or Azure. GCP hands-on is preferred
• Hands-on expertise with machine learning frameworks and familiarity with LLMs
• Data modeling experience in retail or ecommerce
• High proficiency in advanced analytics techniques, exploratory data analysis (e.g., linear/logistic regression, cluster analysis), and its application in the right use cases to drive results
• Ideate, build, and test minimum viable products (MVP) and scale data products utilizing state-of-the-art AI technologies
• Strong experience in building, articulating, and delivering business cases and roadmaps around data use and/or a data-centric business strategy
• Demonstrated management capabilities to handle complex analytical projects from ideation to completion with actionable insights

Skills & Responsibilities:

• Provide team management, leadership and direction
• Provide near-term strategic and tactical plans to execute analytics for the omnichannel team
• Collect data, analyze trends, draw conclusions, and provide recommendations on cross-channel marketing tactics and strategies
• Develop and own data products roadmap, ideate and prioritize the requirements and feature engineering for the AI/ML product, and maintain the product backlog
• Formulate the work of the Data Science function into findings for application by the broader business, including for use in strategic decision-making and planning
• Oversee and contribute to the development and integration of machine learning models for predictive and prescriptive solutions
• Open to research and co-create MVP solutions using LLMs from leading AI vendors and share learnings with data Product and Engineering teams.
• Creates experimental designs (test vs. control) for marketing tactics which allows for accurate ROI measurement.
• Partner with enterprise engineering and BI teams to evaluate and integrate new data sources and scalable platforms required for the data products while continuously improving data governance and documentation across.
• Partner with enterprise engineering and BI teams to construct downstream impact analysis and own change management communication for data sources.
• Define, create, improve, govern, and own metrics documentation that is required to support the data-driven culture of Omnichannel organization.
• Required to learn company policies, procedures, and safety rules. Ensure that the analytics solutions adhere to compliance, governance, and quality standards.
• Duties may change and associates may be required to perform other duties as assigned.
• Owns the development of advanced analytics talent across the organization and its applications in the business decision process.