84.51° is looking to solve the business problem of maximizing supplier impact by leveraging data science, insights, and media to create more personalized and valuable experiences for shoppers. This role specifically focuses on moving decision-makers at Kroger and 84.51° to understand and use the Supplier Impact Maximization (SIM) process for planning decisions and incorporating stakeholder needs into the SIM process.
Requirements
- 2+ years of working with big data, advanced statistics, and programming with a focus on bringing insights from these tools to business stakeholders.
- Experience with LLM tooling where appropriate; desire to learn and adopt new tech that advances the product.
- Strong proficiency in Python; experience with Spark or similar distributed compute.
- Experience in Power BI, Dash, or other BI/reporting data visualization tools.
- Strong data wrangling, cleaning, and feature engineering skills.
- Familiarity with big-data tools and architectures (e.g., Spark, Hive, Hadoop, if applicable).
Responsibilities
- Work with CSA partners on activations with Kroger stakeholders, surfacing insights and helping to weave them into a compelling story.
- Own the short-term technical work associated with specific activations.
- Own certain long-term integrations into the process, working closely with lead DSRs to make learnings scale.
- Execute with sound data science principles and a clear goal of end-user engagement.
- Bring insights and ideas (both technical and business focused) that will make the SIM process and its outputs more effective.
- Demonstrate a bias toward action, turning ideas into reality quickly.
- Proactively suggest ways to improve the process and deliverable; effectively communicate the value of improvements and the effort involved
Other
- Passion for applying data driven insights to real-world decisions; comfort with the tension that can exist between modelled recommendations and real-world priors and constraints.
- Demonstrated success delivering statistically reliable insights and data visualizations to impact business decisions.
- Bias for smart experimentation; comfortable taking calculated risks with uncertain outcomes.
- Possesses a product mindset, focused on iterating toward an ever-improving solution.
- Strong interpersonal, communication, problem-solving, and decision-making skills.
- Strong business acumen and grocery/retail experience.
- Passion for data and insights; natural curiosity and comfort with change.
- Thrives in a highly collaborative environment.
