Senior Data Scientist (P3870)

84.51° Overview:

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

Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 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, Relevancy Team – Personalization & Loyalty Strategy

Relevancy Team is responsible for making relevant and personalized customer experiences for Kroger's E-commerce site, which ranks among the top 10 e-commerce companies in the US. We deliver trillions of recommendations to the Kroger website at scale and make them available to millions of Kroger customers. Scale is the name of the game. The team has a rich portfolio of sciences which include product and coupon recommender systems, substitute recommendations, and shoppable recipes. We apply a multitude of advanced techniques such as deep learning, Matrix factorization, ML, and NLP to create our sciences.

RESPONSIBILITIES:

Technical Leadership

• Measure the impact of improving search algorithm, and or other system improvements.
• Create benchmark metrics and datasets for evaluating improvements to search algorithms.
• Assist with the data collection, feature engineering, model building, develop and validate data annotation strategies.
• Undertake data preparation and exploration to create and support new and existing sciences.

Identify Opportunities

• Identify and validate business use cases that can be solved with AI.
• Coordinate with cross-functional teams to seek feedback on models, share results and implement models.
• Define, Refine and Monitor key metrics to enable root cause analysis.
• Lead and work with data scientists and ML engineers to adapt and scale NLP solutions.
• Develop evaluation strategies for measuring both model performance and real work impact.

Measurement and Experimentation

• Lead the experimental design and statistical techniques for measurement and experimentation.
• Capture business value from diverse datasets using rigorous analytics and visualization.
• Partner with Business and Product to identify the right metrics for understanding the customer and product performance.
• Partner with Engineering to facilitate experiment deployment and enhancements to experimentation frameworks.

Qualifications, Skills and Experience:

• Bachelor’s or Master’s degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline
• 2+ years of experience in building dashboards for big datasets via SQL, R and/or Python to support both batch and real-time processing
• 2+ years of experience in extracting insights from large databases, perform analytics on diverse data feeds, and presenting technical insights to non-technical audience
• 2+ years of experience accessing and manipulating large datasets via SQL, R and/or Python
• Experience with working on large-scale recommendation systems
• Experience with data wrangling, data cleansing, dimensionality reduction.
• Experience with Big Data concepts, tools, and architecture
• Strong analytical, problem-solving and decision-making skills
• Strong understanding of statistics, experimental design and measurements
• Experience working with Data Engineering and MLOps is desirable
• High level of independence to develop and own toolkits, pipelines, and dashboards.
• Excellent communication skills, particularly on technical topics.
• Must be able to learn from others and teach others, and to work collaboratively as part of a highly interdependent team.
• Python, Hadoop, Pyspark, Tableau, PowerBI, Bash, and Knowledge of Automation tools
• Story Telling ability with Python Notebooks & dashboards
• Desirable but not required – Working in Azure
• Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data. In addition to salary, this position is also eligible for commissions. Base Range for California: $113,750-$171,250.
• Below is a list of some of the benefits we offer our associates:
• • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
  • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
  • Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

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