84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

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Senior Data Scientist

SUMMARY

The White Glove and Incentives – Collaborative Cloud team is looking for a Senior Data Scientist to join their team. This role will focus on technical development to support our science packages, data assets, and analytic cloud platform offerings along with consulting/training of client data science teams using 84.51° Collaborative Cloud. The work will primarily include hands-on solution building and client consulting.

To be successful in this role, a candidate should:

Thrive in ambiguous, exploratory work; be a creative problem solver who drives results
Be comfortable working with different CC related tech tools - Azure, Databricks, Snowflake, 84.51° Stratum, Power BI, etc.
Have a strong business and technical acumen to align with strategy, scope projects, design and build solutions and train/consult client data science teams
Enjoy working on a team that supports a client-centric product, helping troubleshoot, brainstorm, and support clients through cross-functional collaboration with internal and external teams
Possess strong statistical and machine learning foundations and actively expand these skills to tackle new or existing business problems

RESPONSIBILITIES

Co-own technical solution design; influence the roadmap with data science strategy and client feedback to drive the evolution of 84.51° Collaborative Cloud
Partner with Product, Engineering, Commercial and Business partners to deliver the right data science experiences, aligned with privacy/security best practices
Support 3 – 4 clients: onboard and train data science teams; support, consult and problem solve to help the client deliver impactful insights
Collaborate with Client Account teams to support clients, assist with demos and selling conversations
Build solutions iteratively and adapt as our roadmap changes and evolves overtime
Write and QA high-quality code for reliable and scalable product solutions that follow tech standards and best practices
Develop methodologies and science packages; advance new offerings and commercialize existing science/data solutions
Capture, share, and standardize best practices across the data science community
Continuously challenge and improve 84.51° analytical capabilities and products

QUALIFICATIONS, SKILLS, AND EXPERIENCE

Bachelor or Master's degree in mathematics, statistics, analytics, data science, AI or related discipline
2+ years of experience in consulting or professional services; experience interacting with clients is a plus
2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients
2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
Ability to create computationally efficient solutions
Data visualization skills and ability to present technical solutions to non-technical audiences
Strong interpersonal and communication skills.
Strong analytical, creative problem-solving and decision-making skills
A natural curiosity that embraces change, experimentation, and learning from failure.
Proficient in our product’s technology stack (Azure, Databricks, Pyspark)
Ability to work in a highly collaborative environment and within a cross-functional team. Experience working with engineers closely is a plus
Proficient in software design principles, automation and package creation
Passionate about data, Supervised Learning/Machine Learning. Understanding of AI algorithms is a plus.
Knowledge of Embeddings, Clustering, Unsupervised Learning, Distributed Computing is a plus
Familiarity of KPM Audience Building best practices is a plus

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