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Data Scientist Forecasting Jobs in Ohio (NOW HIRING)

Lead Forecasting Engineer

Toledo, OH · On-site

$100K - $132K/yr

Technology Group International (TGI) is looking for an experienced data scientist with software ... Your primary responsibility will be to lead the development of forecasting and statistical models ...

Lead Forecasting Engineer

Toledo, OH · On-site

$100K - $132K/yr

Technology Group International (TGI) is looking for an experienced data scientist with software ... Your primary responsibility will be to lead the development of forecasting and statistical models ...

Showing results 41-60

Data Scientist Forecasting information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data scientist forecasting jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist forecasting in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the data scientist forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What are the most commonly searched types of Data Scientist Forecasting jobs in Ohio?

The most popular types of Data Scientist Forecasting jobs in Ohio are:

What are popular job titles related to Data Scientist Forecasting jobs in Ohio?

For Data Scientist Forecasting jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Data Scientist Forecasting job openings in Ohio as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist Vice President - Consumer Bank Marketing Analytics

Fairygodboss

Columbus, OH • On-site

$120 - $180/hr

Other

Medical, Retirement

Posted 23 days ago


Job description

Are you a data scientist who thrives at the intersection of advanced analytics, business strategy, and measurable impact? At JPMorganChase, we believe the best insights don't just inform decisions - they transform them. Join a team where your work helps shape how we acquire and retain customers, and where you can grow your career alongside the impact you create.

Job responsibilities
  • Analyze customer quality metrics, including customer lifetime value (CLV) and incrementality, to inform return on investment-based portfolio optimization
  • Lead matched market and geographic A/B tests by designing the testing approach, running analyses, and delivering recommendations on marketing effectiveness
  • Develop and maintain customer lifetime value and discounted cash flow (DCF) frameworks to evaluate different customer acquisition segment types
  • Translate analytical findings into clear, actionable business recommendations and decision-ready narratives
  • Partner with finance on budgeting, forecasting, and cost-benefit analyses for marketing initiatives
  • Collaborate across marketing analytics, test design, strategy, and finance teams while championing an inclusive, high-performing culture
  • Present results, tradeoffs, and recommendations to senior leaders with clarity and precision
  • Provide leadership and mentorship to junior data scientists, promoting rigor, high standards, and continuous learning
Required qualifications, capabilities and skills
  • Formal training or certification on data science concepts and 5+ years applied experience
  • Bachelor's and Master's degree in a quantitative discipline such as data science, analytics, mathematics, statistics, physics, engineering, economics, finance, or a related field
  • 5+ years of experience applying statistical methods to real-world business problems
  • 5+ years of hands-on experience with SQL and at least one analytical programming language (Python or R)
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment and cost-benefit evaluation
  • Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Demonstrated experience using AI-assisted development tools to accelerate analysis and code development
  • Experience with data visualization for analysis and executive-level presentations
  • Strong written and verbal communication skills, including the ability to present complex findings concisely to senior stakeholders
Preferred qualifications, capabilities and skills
  • Experience in marketing analytics, ideally within consumer banking, deposits, or financial services
  • Proficiency with Tableau or comparable business intelligence and visualization platforms
  • Demonstrated ability to operate independently on unstructured problems while maintaining strong stakeholder alignment
  • Strong organizational skills with the ability to manage and prioritize multiple workstreams simultaneously
  • Proven ability to build trusted relationships with senior stakeholders and translate business goals into analytical frameworks
About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching and more.
Equal Opportunity Employer/Disability/Veterans

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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