84.51°
Lead Data Scientist - Relevancy Sciences (P3764)
Cincinnati, OH; Chicago, IL · Senior
Sponsorship not specified$125k-$207kDetected 22 days ago
PythonSQLGCPCloud PlatformsMachine LearningDeep LearningSparkData AnalysisData ScienceLLMsRAGStatisticsA/B TestingProduct ManagementLeadershipCommunicationCollaborationMentoring
Stay score
odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Files H-1B transfers
5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- 84.51° is a retail data science, insights and media company.
- Relevancy Sciences Team is responsible for powering relevant, personalized, and scalable customer experiences across Kroger's e-commerce ecosystem.
Responsibilities
- Own and drive technical initiatives across search & recommender systems.
- Define and evolve the science strategy for improving content discovery, relevance, personalization, and decision support across digital experiences.
- Rapidly prototype and validate new ideas to accelerate adoption and demonstrate measurable value.
- Develop innovative search & recommender systems.
- Design and build ML solutions tailored to the unique needs of grocery retail domain.
- Lead the development of systems that improve product discovery and personalization across customer journeys.
- Partner closely with Engineering to build and deploy production-ready ML systems.
- Influence design decisions related to real-time inference, feature access, system integration, monitoring, and reliability.
- Drive alignment across teams and influence decisions through clear communication of tradeoffs, risks, and expected outcomes.
- Mentor data scientists and lead technical reviews to improve model quality, experimentation rigor, and systems thinking.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 6+ years applied ML with explicit search and/or recommendation systems experience.
- Proficient in Python and SQL, with experience processing large-scale data in distributed environments (e.g., Spark).
- Track record of shipping ML systems that moved business or customer metrics at scale - not just exposure to frameworks or techniques.
- Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.
- Experience mentoring or guiding other data scientists and contributing to a strong technical culture.
- Experience working with cloud platforms such as GCP or Azure.
Nice to have
- Experience in retail, e-commerce, or high-scale consumer domains is a plus.
Compensation
- $125,000 - $207,000 USD
- Base Pay Range
Benefits
- Medical: with competitive plan designs and support for self-care, wellness and mental health.
- with in-network and out-of-network benefit.
- Health Savings Account with matching contribution (requires participation in qualifying medical plan).
- 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.
- Contribute to building a strong, learning-oriented team culture.
Company info
- As a member of our data science team, you will have the opportunity to make a tangible difference in the lives of millions of customers by delivering relevant and personalized recommendations that enhance their grocery shopping experience.
- We are committed to fostering a culture of continuous learning and development.
- We are seeking a Lead Data Scientist to provide technical leadership across search and recommender systems, with a strong focus on modern model architectures, and production-ready machine learning.
This listing is sourced directly from 84.51°'s careers page and normalized into a canonical job model.