Lead Data Scientist (P3230)

Lead Data Scientist Consultant, Loyalty Strategy & Rewards (P3230)

Summary

The Loyalty Strategy & Rewards (LSR) team is accountable for Kroger's current loyalty program and defining evolution to the future loyalty program. The LSR DSR team supports this work by providing measurement and insights that equip the business to connect with members, drive valuable behavior change, and grow emotional loyalty with Kroger. This role is the lead data scientist consultant for Boost, which is the paid tier of Kroger's loyalty program. The core components of this role include:

• Working with the business partners to help define the strategy of Boost
• Generating actionable insights and data to drive business decisions
• Leading the technical side of innovative loyalty projects
• Delivering first-class targeting and measurement support

As a Lead Data Scientist Consultant, you are joining a community of analysts, data scientists, and software engineers, where you drive connection between data science development and our end users and customers. Grounded in a technical background, you are an expert at consulting with clients and partners to scope and deliver data-driven recommendations and actionable insights. Data Science consultants excel at learning and leveraging our existing sciences and capabilities to solve customer problems and articulate their value in addition to identifying new opportunities to apply data science. This role will also consult with our Product, Engineering and Platform teams to ensure science is integrated into our scaled products.

Responsibilities:

• Lead and manage projects from initial scope to delivery, solving for fundamental business questions and improving our ability to create actionable insights for Kroger.
• Maintain strong working relationships with 84.51° and Kroger partners
• Drive for results on multiple projects simultaneously; prioritize and balance short-term ad hoc questions with long-term projects based on value and business impact
• Identify opportunities to streamline delivery of core work to free up capacity for innovation
• Coach and mentor and develop junior data scientists on project execution, results delivery, domain skill development, and analytic techniques
• Meet with clients, stakeholders, and partners to ensure their understanding of our data assets, techniques, and overall analytic capabilities
• Think creatively when building analytics solutions to bring the most value to the user, balancing analytical rigor and practicality
• Serve as a data science / analytics ambassador to our cross functional teams - explain the how and why around our analytics solutions
  • Partner with client and sales teams to explore new partnerships based on our capabilities and products.
  • Partner with engineering to build data pipelines, create new analytic methodologies, and bring them to scale
  • Partner with Product teams to ensure science is appropriately integrated into our scaled products
  • Influence our enterprise platform and product creation based on data science and domain knowledge
• Challenge and improve 84.51° analytical capabilities/products

Qualifications & Experience

• Bachelor's degree in mathematics, statistics, computer science, economics, or similar discipline
• 4+ years of experience in extracting insights from large databases, translating market research into actionable solutions, and presenting findings and recommendations to clients or stakeholders
• 4+ years of experience in tech consulting, retail or related professional services
• 4+ years of experience working with partners across software engineering and product management to develop and scale new features and enhancements
• Hands-on experience using Python, R, or other similar statistical software to develop analytical solutions
• Demonstrated experience partnering with consulting teams to prioritize, scope and deliver analytical solutions
• Demonstrated experience in solving vague and unstructured problems, using data science to create clear business-facing deliverables

Skills

• Experience with open-source programming (R, Python, SQL) and cloud platform environments
• Technical fluency- skilled at translating highly technical problems to non-technical audiences
• Ability to balance between ideal and practical to drive efficient, effective business value
• Strong business acumen. Grocery and/or retail experience is a plus.
• High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation.
• Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary.
• Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills are required
• Strong analytical, problem-solving, and decision-making skills

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