Top 6 Data scientist / data quality lead Jobs in Columbus

Lead Data Scientist
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Computer Science
- Office
- Mentoring
Lead Data Scientist: Claims and Service DS Knowledge & Development Solutions
Liberty Mutual —Columbus, OH
- $120,000 - $257,000 a year
- Full-time
- Hybrid work
- Office
- 3 years
- Master's degree
1d
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —Columbus, OH
- $102,500 - $188,900 a year
- Full-time
- Azure
- Computer Science
- Office
Snowflake Advanced AI Solution Lead
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
7d
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Path Robotics —Columbus, OH
- Remote
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
Quick Apply

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Lead Data Scientist
Safelite Group —Columbus, OH
Lead knowledge sharing through code reviews, technical standards, and design discussions. Bachelor's Degree In Data Science, Statistics, Computer Science,…
Lead Data Scientist: Claims and Service DS Knowledge & Development Solutions
Liberty Mutual —Columbus, OH
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a…
$120,000 - $257,000 a year
1d

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data scientist / data quality lead jobs near columbus

Lead Data Scientist

Safelite Group -
Columbus, OH

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Job Details

Full-time

Qualifications

AI models
Competitive pricing
Quantitative applied research
Predictive modeling analysis
Continuous Delivery (CD) implementation
Design of experiments
Competitive analysis
Classification (ML)
Clustering algorithms
Application deployment
Automating deployment processes
Programming languages
Production systems
Machine intelligence
Cloud-based systems
Model deployment
Model training
Clustering
Model evaluation
MLOps
Generative AI
Statistical analysis tools
Database software proficiency

Full Job Description

Job description

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

A Brief Overview
The Lead Data Scientist serves as a technical leader responsible for developing, deploying, and scaling advanced analytical, machine learning, and optimization solutions that drive measurable, profitable outcomes across Safelite’s Consumer Sales & Pricing activities. The role owns end‑to‑end data science solutions—from problem framing through production deployment—while translating complex analytical outputs and AI innovation into actionable business insights. This position plays a critical role in pricing optimization, experimentation strategy, and advancing the organization’s analytics capabilities through technical leadership, mentorship, and innovation.

What You Will Do

Lead the development of advanced machine learning models, statistical frameworks, and optimization solutions to support consumer and sales growth. Define and enforce best practices for model development, validation, deployment, and monitoring.
Drive innovation through the application of cutting‑edge techniques, including: Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and emerging AI technologies.
Serve as the technical escalation point for complex analytical and modeling challenges
Continuously evaluate emerging methods and ensure their practical applicability to business problem
Own the full lifecycle of data science solutions: problem framing, feature engineering, model development, production deployment, ongoing monitoring and improvement
Translate ambiguous, high‑level business questions into structured analytical approaches
Ensure models are scalable, performant, explainable, and maintainable in production environments
Partner with engineering and platform teams to operationalize models
Work closely with senior business, sales, and product stakeholders to identify high‑value use cases. Translate complex model outputs into actionable insights and clear strategic recommendations.
Quantify business impact and ensure alignment with organizational KPIs, revenue goals, and growth strategies.
Influence decision‑making through compelling, data‑driven narratives, not just technical outputs
Mentor both junior data scientists on advanced analytical methodologies and software engineering and coding best practices
Contribute to building a high‑performance analytics culture
Lead knowledge sharing through code reviews, technical standards, and design discussions
Collaborate with data engineering, platform, and architecture teams to define data requirements, pipelines, and scalable analytics architecture
Advocate for data quality, governance, and reproducibility and documentation standards
Evaluate and integrate new tools, frameworks, and technologies into the analytics ecosystem where they deliver clear value
Performs other duties as assigned
Complies with all policies and standards

What You Will Need

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.

Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Onsite #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.

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.

Internal Associates: Already a member of the Safelite team? Apply through your Workday account by searching "Find Open Jobs".

Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we’re proud to be an equal opportunity employer. Learn more at Careers http://safelite.com/Careers

Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment.

This position description is not all inclusive for every aspect of this role. Reasonable accommodation 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.

Apply Now

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data scientist / data quality lead jobs in columbus

Lead Data Scientist

Lead Data Scientist: Claims and Service DS Knowledge & Development Solutions

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Snowflake Advanced AI Solution Lead

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

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