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Lead Data Scientist

Safelite
Remote, USA
Full-time
Senior · 7–9 years experience
Remote
Discovered 2 weeks ago
RPythonMLOpsGenAILLMs

Full Job Posting

Expected Work Location (Remote)

  • It is expected that you will primarily perform work remotely. You may be asked to travel, as needed, to the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235), or to other location(s) as designated by the Company. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Remote #LI-JR2
  • This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change. This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

Requirements

  • Bachelor's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Required
  • Master's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Preferred
  • 7-9 years Experience in data science, machine learning, applied research, or advanced analytics Required
  • Proficient in SQL
  • Advanced experience with top statistical programming languages (R or Python)
  • Experience working in cloud‑based analytics environments
  • Hands‑on experience building Regression models, Classification models, Clustering models
  • Strong understanding of machine learning algorithms, statistical modeling, and optimization techniques
  • Experience with A/B, multi‑arm, and pre‑post testing
  • Familiarity with ML operations (MLOps), including versioning, monitoring, and CI/CD pipelines
  • Familiarity with GenAI/LLMs for price recommendation explainability; competitive intelligence from unstructured data
  • Previous work on pricing strategy, pricing optimization, or pricing engines
  • Experience designing experiments without commercial testing platforms
  • Experience collaborating with data engineering and data management teams to deploy models in production, monitor model drift, and implement re-training cadences.

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