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Data Scientist Bank Remote Jobs in Columbus, OH (NOW HIRING)

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

Experience in financial services, banking, or insurance sectors preferred Preferred Skills/Experience * Exposure to cloud-based data science environments (e.g., Azure ML, Databricks) * Familiarity ...

Huntington

Senior Data Scientist

Columbus, OH

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

Huntington

Senior Data Scientist

Columbus, OH

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery.

Battelle

Data Scientist II

Columbus, OH · On-site

As a Data Scientist, you will contribute to impactful research and analytics that drive evidence ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Battelle

Data Scientist I

Columbus, OH · On-site

As a Data Scientist, you will contribute to impactful research and analytics that drive evidence ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Logix Guru

Data Scientist: III (Senior)

Columbus, OH · On-site

Bank is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic ...

Huntington

GenAI Lead Data Scientist

Columbus, OH

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

Logix Guru

Data Scientist: III (Senior)

Columbus, OH · On-site

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery.

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

Huntington

GenAI Lead Data Scientist

Columbus, OH

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

Huntington

Lead Data Scientist - AI Automation

Columbus, OH · On-site

$93K - $189K/yr

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

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$36.2K

$118.6K

$189.8K

How much do data scientist bank remote jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist bank remote in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in a remote banking role, and why are they important?

To thrive as a Data Scientist in a remote banking role, you need a strong background in statistics, data analysis, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like Certified Analytics Professional (CAP), is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across teams and explaining complex insights in a remote environment. These skills and qualities are essential for developing secure, data-driven solutions that support banking operations and drive business decisions from a distance.

How does a remote Data Scientist at a bank typically collaborate with cross-functional teams?

As a remote Data Scientist in a banking environment, you will regularly collaborate with cross-functional teams such as risk management, IT, product development, and regulatory compliance. Communication is often facilitated through digital collaboration tools and regular virtual meetings, where you'll discuss project requirements, share insights from your analyses, and align on data-driven strategies. Successful remote collaboration requires proactive communication, clear documentation, and strong teamwork skills to ensure that data solutions are effectively integrated into banking operations and support business objectives.

What does a Data Scientist do at a bank in a remote role?

A Data Scientist working remotely for a bank analyzes large sets of financial and customer data to identify trends, build predictive models, and support strategic decision-making. Their tasks often include developing algorithms to detect fraud, improve risk assessment, personalize banking products, and optimize operations. Remote data scientists use tools like Python, SQL, and machine learning frameworks to collaborate with cross-functional teams virtually, ensuring security and compliance with financial regulations.
What are popular job titles related to Data Scientist Bank Remote jobs in Columbus, OH? For Data Scientist Bank Remote jobs in Columbus, OH, the most frequently searched job titles are:
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Data Scientist Bank Remote jobs near you
Data Scientist

Data Scientist

Sequoia Financial Group Llc

Dublin, OH • On-site

Full-time

Posted 20 days ago

Job description

Sequoia Financial Group is a growing Registered Investment Advisor (RIA), headquartered in Northeast Ohio, offering financial planning and wealth management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values define how we behave and guide us through the pursuit of our purpose to enrich lives. At Sequoia, our core values are:
    • Integrity. We act in the best interests of others by providing an honest, consistent experience for our clients and team.
    • Passion. We pursue our full potential, seeking to continually enhance and evolve our ability to serve our clients and team.
    • Teamwork. We subordinate our egos to work together for the benefit of our clients.
Our promise to team members is that you will grow with us. From experienced advisors to new college grads to transitioning principals, every team member will find Sequoia a place to refine their professional mission, move into new opportunities, go deeper, and lead further. We are built to help you build a career here as a long-term contributor in our work to enrich lives for generations.Summary of the position:

As part of our expanding Data & AI Office, we seek a highly motivated and hands-on Data Scientist to build intelligent models that drive personalization, operational efficiency, and strategic decision-making. This role is ideal for someone who thrives in experimentation, iterative development, and translating business needs into scalable data products.

The Data Scientist will develop product-ready models that support Sequoia’s strategic initiatives in client experience, financial planning, operations, and marketing. This individual will work closely with business stakeholders to understand requirements, translate them into data science problems, and deliver actionable insights through robust modeling and experimentation.

This hands-on role requires technical depth in Python programming, data science workflows, and a strong understanding of mapping business requirements to data models. The ideal candidate will be highly innovative, comfortable with ambiguity, and eager to learn through experimentation and iteration.

This role reports directly to the Vice President of Data and Integrations and collaborates closely with the Data Architect, Client Experience, Marketing, and Technology teams.

Responsibilities
  • Develop and deploy predictive and descriptive models using Python and modern data science libraries
  • Translate business requirements into data science problems and design appropriate modeling strategies
  • Build product-ready models that can be integrated into client-facing and internal applications
  • Conduct exploratory data analysis, feature engineering, and model validation
  • Collaborate with stakeholders across departments to understand use cases and deliver insights
  • Embrace iterative development, rapid prototyping, and continuous learning from experimentation
  • Utilize coding accelerators and low-code tools where appropriate to speed up development
  • Document modeling decisions, assumptions, and performance metrics for transparency and reproducibility
  • Work with data engineers and architects to ensure models are scalable and maintainable in production
  • Stay current with emerging techniques in machine learning, generative AI, and financial modeling
Required Skills/Experience
  • Master’s Degree in Statistics
  • 1–2 years of experience in data science or machine learning roles
  • Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, NumPy, matplotlib, seaborn)
  • Strong understanding of statistical modeling, machine learning, and data preprocessing
  • Demonstrated ability to map business requirements to data science solutions
  • Experience with iterative development and rapid experimentation
  • Familiarity with coding accelerators or low-code platforms (e.g., Azure ML Studio, H2O.ai)
  • Excellent communication skills and ability to present findings to non-technical stakeholders
  • Strong documentation and organizational skills
  • Experience in financial services, banking, or insurance sectors preferred
Preferred Skills/Experience
  • Exposure to cloud-based data science environments (e.g., Azure ML, Databricks)
  • Familiarity with tools such as Jupyter Notebooks, Git, and MLflow
  • Experience working with Salesforce, Tamarac, eMoney, Fidelity, Schwab, and Box is a plus
Competencies
  • Highly innovative and willing to challenge conventional approaches
  • Comfortable learning from failed experiments and pivoting quickly
  • Ability to work independently and collaboratively in hybrid work settings

If you are currently on a STEM OPT Visa that will eventually require sponsorship for the H1B Visa, unfortunately, we are not able to sponsor.