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New Grad Data Scientist Jobs in Columbus, OH (NOW HIRING)

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

From experienced advisors to new college grads to transitioning principals, every team member will ... The Data Scientist will develop product-ready models that support Sequoia's strategic initiatives ...

Outcomes

Senior Data Scientist

Dublin, OH · On-site

Proactively generate ideas for using data science to identify new business opportunities and present results to key stakeholders * Partner closely with Reporting & Analytics team to find reporting ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Willingness and ability to learn new technologies on the job * Work and/or educational experience ...

Outcomes

Data Scientist II

Dublin, OH · On-site

JOB SUMMARY The Data Scientist II will drive critical business impacts and play a key role to drive ... New Data Product discovery initiatives (OTC, data products, etc.) * Thought Leadership metrics and ...

OUTCOMES OPERATING INC

Data Scientist II

Dublin, OH

JOB SUMMARY The Data Scientist II will drive critical business impacts and play a key role to drive ... New Data Product discovery initiatives (OTC, data products, etc.) * Thought Leadership metrics and ...

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 ... Willingness and ability to learn new technologies on the job * Work and/or educational experience ...

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 ... Willingness and ability to learn new technologies on the job * Work and/or educational experience ...

Huntington

Senior Data Scientist

Columbus, OH

The Senior Data Scientist contributes to building and developing the organization's data ... Willingness and ability to learn new technologies on the job * Demonstrated ability to communicate ...

Huntington

Senior Data Scientist

Columbus, OH

The Senior Data Scientist contributes to building and developing the organization's data ... to learn new technologies on the job Demonstrated ability to communicate complex results to ...

Mettler Toledo

Data Scientist - AI Expert

Columbus, OH · On-site

... your expertise in data science. The ideal candidate will be passionate about artificial ... Onboard new teams, users and content onto the AI solutions * User training about AI in general and ...

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New Grad Data Scientist information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

How much do new grad data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for new grad data scientist 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 New Grad Data Scientist, and why are they important?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What are New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Columbus, OH? For New Grad Data Scientist jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Columbus, OH look for? The top searched job categories for New Grad Data Scientist jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for New Grad Data Scientist jobs? Cities near Columbus, OH with the most New Grad Data Scientist job openings:
New Grad Data Scientist 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.