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Applied Statistics Jobs in Ohio (NOW HIRING)

Ra

Marketing Analytics Manager

Columbus, OH · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Cincinnati, OH · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Cleveland, OH

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Hexion

Applied ML Scientist - Chemistry

Columbus, OH · On-site

$80 - $120/hr

Experience in applied statistics and uncertainty quantification, including model calibration and domain of validity. * Strong Python skills and experience with mainstream Python-based ML frameworks ...

Huntington Ingalls Industries

$85K - $130K/yr

Bachelor's degree in engineering, statistics, applied math, operations research, or similar * 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in ...

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All JobsApplied Statistics JobsApplied Statistics Jobs in Ohio

Applied Statistics information

See Ohio salary details

$38.5K

$79.5K

$111.2K

How much do applied statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for applied statistics in Ohio is $79,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $110,300.00 per year, depending on experience, location, and employer.

What is an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certification in statistical software or data analysis can enhance job prospects.

What are popular job titles related to Applied Statistics jobs in Ohio?

For Applied Statistics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Applied Statistics jobs in Ohio look for?

The top searched job categories for Applied Statistics jobs in Ohio are:

Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $79,532 per year, or $38.2 per hour.

Applied ML Scientist - Chemistry

Jobtailor

Columbus, OH • On-site

$120 - $180/hr

Other

Posted 4 days ago

Job description

Responsibilities
  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
  • Collaborate with R&D and manufacturing on problem framing
  • Curate and analyze chemical and experimental data
  • Develop and select input representations for raw materials, chemistry, and signal data
  • Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
  • Quantify and calibrate model performance and uncertainty
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
  • 5+ years experience
  • Strong Python skills
  • Experience in applied statistics and uncertainty quantification
  • Domain knowledge in chemistry, preferably polymer chemistry
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