Consulting Jobs in Ohio with H-1B Sponsorship
H-1B visa sponsorship consulting jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where firms like Deloitte, Accenture, PwC, and EY maintain significant operations. Ohio's manufacturing base, financial services sector, and expanding tech corridor drive steady demand for management, IT, and strategy consultants who need H-1B sponsorship.
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Get Access To All Jobs84.51° Overview
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°!
Senior Data Scientist / P3358
Summary
We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.
Responsibilities
Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.
- Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
- Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
- Design and execute proof of concepts to demonstrate feasibility for specific business problems.
- Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
- Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
- Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
- Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
- Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
- Troubleshoot integration challenges and provide technical guidance for model integrations.
- Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
- Create documentation, user guides, and best practices for internal model adoption and usage.
- Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.
Required Qualifications and Experience
- Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
- 3+ years of hands-on experience in data science or machine learning roles
- 3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
- Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
- Experience applying embeddings within AI projects and machine learning applications
- Track record of shipping, measuring, and maintaining machine learning models in production
- Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
- Experience in stakeholder management, technical documentation creation, and cross-functional collaboration
Preferred
- Experience building in cloud data platforms (i.e. Azure, GCP)
- Previous developer relations, technical evangelism, or advocacy experience
- Background in NLP, conversational AI, or generative AI applications
- Open-source contributions or thought leadership in AI/ML community
Pay Transparency And Benefits
The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: 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.
Pay Range $98,000—$169,050 USD
84.51° Overview
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°!
Senior Data Scientist / P3358
Summary
We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.
Responsibilities
Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.
- Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
- Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
- Design and execute proof of concepts to demonstrate feasibility for specific business problems.
- Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
- Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
- Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
- Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
- Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
- Troubleshoot integration challenges and provide technical guidance for model integrations.
- Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
- Create documentation, user guides, and best practices for internal model adoption and usage.
- Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.
Required Qualifications and Experience
- Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
- 3+ years of hands-on experience in data science or machine learning roles
- 3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
- Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
- Experience applying embeddings within AI projects and machine learning applications
- Track record of shipping, measuring, and maintaining machine learning models in production
- Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
- Experience in stakeholder management, technical documentation creation, and cross-functional collaboration
Preferred
- Experience building in cloud data platforms (i.e. Azure, GCP)
- Previous developer relations, technical evangelism, or advocacy experience
- Background in NLP, conversational AI, or generative AI applications
- Open-source contributions or thought leadership in AI/ML community
Pay Transparency And Benefits
The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: 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.
Pay Range $98,000—$169,050 USD
Job Roles in Consulting in Ohio
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Get Access To All JobsFrequently Asked Questions
Which consulting companies sponsor H-1B visas in Ohio?
The largest H-1B sponsors in Ohio's consulting sector include the Big Four accounting and advisory firms (Deloitte, PwC, EY, and KPMG), along with management and IT consultancies like Accenture, Cognizant, Infosys, and Tata Consultancy Services. Mid-size regional firms also sponsor H-1B workers, though less consistently. Sponsorship willingness varies by firm size, client demand, and the specific role being filled.
Which cities in Ohio have the most consulting H-1B sponsorship jobs?
Columbus accounts for the largest share of consulting H-1B sponsorship activity in Ohio, driven by its concentration of financial services firms, insurance companies, and a growing tech sector. Cleveland follows, with demand from healthcare consulting and industrial advisory work. Cincinnati rounds out the top three, supported by consumer goods companies and regional professional services firms that regularly engage outside consultants.
What types of consulting roles typically qualify for H-1B sponsorship?
H-1B sponsorship applies to specialty occupations requiring at least a bachelor's degree in a specific field. In consulting, this typically covers management consultants with business or economics degrees, IT consultants with computer science or engineering backgrounds, financial advisory roles, and strategy analysts. Generalist roles where any degree satisfies the requirement may face more scrutiny during the H-1B petition process.
How do I find consulting H-1B sponsorship jobs in Ohio?
Migrate Mate is built specifically for international job seekers and filters consulting H-1B sponsorship jobs in Ohio by employer, city, and role type, so you're not sifting through listings from companies that don't sponsor. You can search by Ohio location and consulting industry to find firms actively hiring H-1B workers, which saves significant time compared to manually researching each employer's sponsorship history.
Are there any Ohio-specific considerations for consulting H-1B sponsorship?
Ohio has no state-level visa or immigration rules that differ from federal H-1B requirements, but a few practical factors matter. Ohio's consulting market is heavily tied to industries like healthcare, manufacturing, and financial services, so relevant industry experience strengthens H-1B petitions. Columbus is also home to major corporate headquarters that run in-house consulting functions, which can offer more stable sponsorship than project-based staffing firms.
What is the prevailing wage for H-1B consulting jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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