Kroger Precision Marketing (KPM), powered by 84.51 is a leading retail media advertising solution. Combined with Kroger loyalty data, the power of 84.51’s data science, and best-in-class strategic media teams we help CPGs explore the power of reaching Kroger customers based on purchase behaviors. We believe in the power of utilizing data to fuel personalization to Kroger customers, while also delivering on true value and impact of media in the advertising ecosystem. Similarly, through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life for our CPG and other partners through our custom insight solutions.

As a Senior Data Scientist, you are joining a cross-functional technical community of analysts, data scientists, product owners, program leads and software engineers. Your superpower is data expertise, and your passion lies in enabling others to understand and use data to appropriately solve business problems. You always bring strong critical thinking, collaboration, and problem-solving skills to your work.

Responsibilities:

Independently own and execute custom insights and media analysis for CPG clients. Partner with lead data scientists, delivery consultants, and insights account executives to develop actionable, forward-looking analyses for our partners.  Drive steady, continuous improvement in our insights offerings and media storytelling capabilities.

Possess deep knowledge and understanding of your data domain/asset Apply statistical and analytical techniques to large datasets to uncover insights that shape better business decisions Own connection and relationship back to source stakeholders/vendor (internal and/or external) Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. SQL, PySpark, BigQuery, etc.) in partnership with data science team members to determine usability Manage projects from beginning to end encompassing data gathering, applied methodology, insight generation and delivery to clients Proactively drive continuous improvement in the form of more automated processes, better methodology, and data visualization that leads to clearer, more actionable insights Proactively manage the development of best practice and knowledge management. Champion the capture and sharing of knowledge across the data science community.

Qualifications, Skills and Experience:

Bachelor's degree in mathematics, statistics, computer science, economics, or similar discipline

Proficient in technology stack. Our technology stack includes – Azure , Python, Spark, Github, Power BI Snowflake

2+ years of experience in extracting insights from large databases, translating insights into actionable solutions and presenting findings and recommendations to clients or stakeholders

2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities

2+ years of experience in tech consulting, retail, media, or related professional services

Demonstrated experience in solving vague and unstructured problems, using data science to create clear business facing deliverables

Technical fluency- skilled at translating highly technical problems to non-technical audiences

Data visualization skills and ability to tell a story using data

Ability to balance between ideal and practical to drive efficient, effective business value

Strong business acumen and passion for commercial success

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 emotional intelligence and communication skills including excellent verbal, written, presentation and consultation skills are required

Strong analytical, problem-solving, and decision-making skills

Natural curiosity that welcomes and embraces change and willingness to try new things and to fail

 

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