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84.51°

Lead Data Scientist (P3764)

84.51° · Cincinnati, OH; Chicago, IL

Posted about 2 months ago

or apply directly on 84.51° 's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
84.51° 's roles stay open a median of 52 days
Reposted
No
Salary listed
No
0% of 84.51° 's roles list one
Ghost-job risk at 84.51°
high
15 stale, 0 reposted of 19 open
Hiring momentum
31 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from 84.51° 's own greenhouse board since 2026-08-03. Full hiring picture for 84.51° .

About this role

As a Lead Data Scientist in the Relevancy Sciences Team, you will drive technical initiatives focused on search and recommender systems, enhancing customer experiences across Kroger’s e-commerce ecosystem. Your role involves designing machine learning solutions, evaluating system performance, and collaborating with cross-functional teams to translate business needs into actionable strategies. You will also mentor other data scientists and contribute to a culture of continuous learning and innovation in personalized recommendation technology.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of 84.51° as an employer.

What you need

  • 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
  • Demonstrated experience designing and building systems at scale — including representation learning, candidate retrieval and ranking with multi-stage pipelines
  • 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
  • Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing

Nice to have

  • Experience in retail, e-commerce, or high-scale consumer domains

What you get

  • Health: Medical, Dental, Vision
  • 401(k) with Roth option and matching contribution
  • Health Savings Account with matching contribution
  • Paid time off with flexibility including 5 weeks of vacation, 7 health and wellness days, 3 floating holidays, and 6 company-paid holidays
  • Paid leave for maternity, paternity and family care instances

Worth weighing

  • No specific salary listed, only a range provided
  • Role requires strong technical leadership and cross-functional influence, which may be challenging in a collaborative environment
  • Focus on modern model architectures and production-ready machine learning may require continuous adaptation to new technologies

Summarised from 84.51° 's posting. Read the full original.

Listed by 84.51° on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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