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Flexible Data Science Jobs Near Me

Munich Re

Data Scientist

Columbus, OH · On-site +1

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... flexible work arrangement We're combining the best of both worlds: in-office and work from home.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Munich Re

Principal Data Scientist - FCAS

Columbus, OH · On-site +1

... all in a flexible environment that helps them succeed both at work and at home. As a senior ... Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ...

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Munich RE

Principal Data Scientist - FCAS

Columbus, OH · On-site

... all in a flexible environment that helps them succeed both at work and at home. As a senior ... Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ...

Munich RE

Principal Data Scientist - FCAS

Bremen, OH · On-site

... all in a flexible environment that helps them succeed both at work and at home. As a senior ... Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ...

Encova Insurance

Data Steward

Columbus, OH · On-site

$55K - $88K/yr

This role will work a flexible hybrid schedule with day/s in office each week and you must reside ... A four-year college degree is required; with a major in accounting, finance, data science or ...

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How much do flexible data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for flexible data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Flexible Data Science jobs near you
A map of the United States highlighting the number of Flexible Data Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Flexible Data Science job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Machine Learning / Data Science Engineer

CapTech Consulting

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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