Polaris Inc. is looking to solve complex business decisions for Marketing by leveraging data science techniques to create recommendations, optimize personalization, channel performance, and media investment.
Requirements
- Strong understanding of statistical methods and predictive/analytical modeling techniques and practices
- Strong experience with one or more data mining/predictive modeling tools: SQL, R, Python, Snowflake
- Proficient with one or more data visualization tools: Tableau, Power BI
- Experience with data preparation, rationalization, and processing in a cloud environment - Azure a plus
- Ability to effectively foster cross-functional relationships across various teams (e.g., data & analytics teams, sales, supply chain, etc.) and develop a good view of how the business operates so that analytical results can be framed in a business context.
- Ability to take on diverse ad-hoc data science requests involving multiple factors that have various scope/goals
- 2+ years of professional work experience (post schooling & internships) in a predictive analytics-focused role
Responsibilities
- Acquire a deep understanding of marketing and business problems facing Polaris and develop end-to-end data driven solutions
- Extract, cleanse, and combine large datasets from multiple sources and systems
- Perform exploratory and targeted analyses, with a wide variety of statistical methods including clustering, regression, decision tree/random forest, time series, neural network, and others
- Synthesize results with business input to drive measurable change and effectively communicate technical analyses and results to business management
- Integrate and productionize model results into both cloud and edge compute hardware platforms
- Ensure quality of data & solutions throughout development process
- Manage suite of customer, personalization, and marketing algorithms and apply to business problems
Other
- Bachelor’s degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent. Advanced degree in a quantitative field preferred
- Excellent attention to detail and strong organizational skills to manage multiple work requests and projects.
- High energy and results oriented. Looking to make improvements and change
- Strong verbal and written communication skills
- Limited travel may be required
