Top 20 development sr principal scientist Jobs in columbus

AVP Applied AI, Small Business
The Hartford —Columbus, OH
- $182,400 - $273,600 a year
- Full-time
- Hybrid work
- Computer Science
- Data analysis skills
- 11+ years
AVP Applied AI, Claims
The Hartford —Columbus, OH
- $182,400 - $273,600 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Office
9d
Faculty Position– Center for Childhood Cancer Research and Scientific Director of Brain Tumor Program
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Medicine
- OSHA
- Adults
9d
Post Doctoral Scientist - Institute for Mental and Behavioral Health Research
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Management
- Computer literacy
- Ability to climb stairs
Senior Data Scientist
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Health insurance
Sr Consultant, People Data Scientist - Human Resources
Nationwide —Columbus, OH
- 8 hour shift
- Office
- Analysis skills
- Travel
- Paid holidays
- Disability insurance
10d
Clinical Genomics Variant Scientist - Next Generation Seq
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Mid-level
- Ability to climb stairs
- Master's degree
Post Doctoral Scientist - AAV Gene Therapy/Extracellular Vesicles/Translational Research
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Computer literacy
- Ability to climb stairs
- Doctor of Philosophy
Post Doctoral Scientist - Cardiovascular Research
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Computer literacy
- Ability to climb stairs
- Doctor of Philosophy
Senior Neurobehavioral Scientist
Battelle —Columbus, OH
- Full-time
- Hybrid work
- 5 years
- Office
- Machine learning
- Wellness program
- Health insurance
Post Doctoral Scientist - Childhood Cancer
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Computer literacy
- Ability to climb stairs
- Doctor of Philosophy
Post Doctoral Scientist - Cancer/Epigenetics/Bioinformatics/Nucleic Acid Metabolism
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Computer literacy
- Ability to climb stairs
- Doctor of Philosophy
Post Doctoral Scientist - Biobehavioral Health
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Management
- Computer literacy
- Ability to climb stairs
Principal Data Scientist : Product to Market (P2M) Optimization
Gap Inc. —Groveport, OH
- Full-time
- Master's degree
- SQL
- Doctor of Philosophy
- Store discount
- Employee stock purchase plan
Faculty Position - Childhood Cancer in Cellular Therapy and Immunobiology
Nationwide Children's Hospital —Columbus, OH
- Full-time
- Medicine
- OSHA
- Adults
R&D Formulation Sr Scientist I
American Regent, Inc. —New Albany, OH
- Full-time
- Microsoft Excel
- 5 years
- Master's degree
VP, Advanced Research & Technology
Vertiv —Delaware, OH
- Computer Science
- Engineering
- Office
Principal Data Architect
Vertiv —Westerville, OH
- System design
- SQL
- AWS

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AVP Applied AI, Small Business
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Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and…
$182,400 - $273,600 a year
AVP Applied AI, Claims
The Hartford —Columbus, OH
Oversee portfolio planning, dependencies, resourcing, and financial stewardship, adapting to changing priorities, capacity constraints, technical risks, and…
$182,400 - $273,600 a year
9d

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AVP Applied AI, Small Business

The Hartford -
Columbus, OH

Apply Now

Job Details

Full-time
$182,400 - $273,600 a year

Qualifications

AI models
Operational analysis
Project portfolio management
Computer Science
Applied Mathematics
Incident management
Multilingual
Coaching
Testing and evaluation
Data analysis skills
Prioritizing technology investments (IT roadmap design and development)
Generative models
Security architecture risk management
Classification (ML)
11+ years
Scalable systems
Managing data teams
Improving operational efficiency
Portfolio performance measurement
Quality improvement leadership
Taxonomy
Technology security practices
Leadership development
Master's degree
Team development
Key Performance Indicators
Production systems
Machine intelligence
Solution architecture design
Professional development support

Full Job Description

Job Details

Location:

Columbus, OH

Category:

Data & Analytics

Employment Type:

Full time

Job Ref:

R2625054-174

AVP Data Science - GD05AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford’s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and ‑AI driven‑ decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.

Primary Job Responsibilities:

Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or value streams. Translate enterprise and Small Business AI priorities into multi‑year portfolio roadmaps and investment plans.
Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
Lead and develop high performing teams of AI scientists and engineers. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.
Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.
Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.
Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.
Partner with senior leaders across the Business, Technology, Transformation Office, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.
Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.

Skills

Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
Proven ability to lead teams, building durable leadership capacity and consistent operating discipline across organizations.
Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.
Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.
Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.
Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.
Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications and Licenses

12+ years of applicable experience with a Bachelor’s degree; fewer years may be accepted with a higher degree. Master’s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
7–10+ years leading leaders, large portfolios, or complex programs.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$182,400 - $273,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Apply Now

Refine Your Search

development sr principal scientist jobs in columbus

AVP Applied AI, Small Business

AVP Applied AI, Claims

Faculty Position– Center for Childhood Cancer Research and Scientific Director of Brain Tumor Program

Post Doctoral Scientist - Institute for Mental and Behavioral Health Research

Senior Data Scientist

Sr Consultant, People Data Scientist - Human Resources

Clinical Genomics Variant Scientist - Next Generation Seq

Post Doctoral Scientist - AAV Gene Therapy/Extracellular Vesicles/Translational Research

Post Doctoral Scientist - Cardiovascular Research

Senior Neurobehavioral Scientist

Post Doctoral Scientist - Childhood Cancer

Post Doctoral Scientist - Cancer/Epigenetics/Bioinformatics/Nucleic Acid Metabolism

Post Doctoral Scientist - Biobehavioral Health

Principal Data Scientist : Product to Market (P2M) Optimization

Faculty Position - Childhood Cancer in Cellular Therapy and Immunobiology

R&D Formulation Sr Scientist I

VP, Advanced Research & Technology

Principal Data Architect

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