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Quantitative Data Engineer Jobs in Ohio (NOW HIRING)

Quantitative Analyst

Columbus, OH ยท On-site

$77K - $90K/yr

... data. While grounded in statistical programming (R) and rigorous research methodologies, the ... Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e ...

Senior Data Engineer

Columbus, OH ยท Remote

$123K - $138K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Senior Data Engineer

Columbus, OH ยท On-site

$99K - $134K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

The IT Data Engineer Lead is responsible for guiding data engineering pipelines, data modelling ... quantitative field โ€ข Minimum 8 years of experience in Information Technology, including ...

Requisition Number: 223352 The IT Data Engineer Lead is responsible for: working and guiding on ... Bachelor's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative ...

Requisition Number: 223352 The IT Data Engineer Lead is responsible for: working and guiding on ... Bachelor's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative ...

Lead Data Engineer - Primary Care

Columbus, OH ยท On-site

$95K - $126K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

... data compilation, programming skills and qualitative analysis skills - Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management ...

Bachelor's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Required * Master's Degree In Data Science, Statistics, Computer ...

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * One year of relevant analytics or modeling ...

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * One year of relevant analytics or modeling ...

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Showing results 1-20

Quantitative Data Engineer information

What are the key skills and qualifications needed to thrive as a Quantitative Data Engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a Quantitative Data Engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a Quantitative Data Engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What job categories do people searching Quantitative Data Engineer jobs in Ohio look for? The top searched job categories for Quantitative Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Quantitative Data Engineer jobs? Cities in Ohio with the most Quantitative Data Engineer job openings:
Quantitative Analyst

Quantitative Analyst

The Scotts Company LLC

Columbus, OH โ€ข On-site

$77K - $90K/yr

Full-time

Medical, Dental, Retirement

Posted 17 days ago


Job description

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!
The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key business decisions. At its core, this role is about understanding consumer behavior through data. While grounded in statistical programming (R) and rigorous research methodologies, the analyst will also leverage modern data tools (SQL, AWS) and applied AI to scale their workflows and improve data quality. This position is ideal for a driven analyst who is hungry to learn, eager to refine their strategic storytelling, and looking to expand their impact across the business.
What You'll Do:
  • Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e.g., Suzy, Qualtrics). Perform rigorous statistical modeling (such as negative binomial regression and difference-in-difference) to measure business impact and isolate causal effects (e.g., measuring retail merchandising lift while controlling for weather/seasonality).
  • Data Storytelling & Strategy: Translate complex quantitative findings into clear, strategic presentations. Build actionable visualizations (in R or Python) to present insights to stakeholders and directly influence brand and retail strategy.
  • Data Integration & Workflow Innovation: Supplement traditional survey research by pulling secondary behavioral data (using SQL). Experiment with modern AI tools (like LLMs) to speed up manual processes, such as cleaning, categorizing, and quality-controlling open-ended survey responses.
  • Cross-Functional Collaboration & PM: Manage multiple analytical projects simultaneously, partnering with qualitative analysts and business leaders to integrate findings and ensure timely delivery of well-rounded insights.

What You Bring:
  • Minimum of 2-4 years of experience in quantitative data analysis, statistical modeling, and insights generation.
  • Bachelor's degree in Statistics, Data Science, Economics, Math, Behavioral Science or related field preferred

Nice to Have (But Not Required):
  • A blend of consumer research/survey design experience AND technical data skills.
    • We recognize this is a rare combination. Candidates with strong foundational statistics/programming who are eager to be mentored in advanced survey design, or vice versa, are highly encouraged to apply.
  • Masters degree preferred

The starting budgeted pay range for this role will generally fall between $77,200.00 - $90,800.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary.
Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel...
  • Our Live Total Health program provides you with options to align to your personal needs. Selections range from medical, dental and visioncoverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%)as well as a 15% discount on company stock and much more
  • We know ourtalent is our most precious asset and your unique development contributes to our organization's success now and in the future. Career growth at our company is not always a ladder. It's much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path.
  • We value the importance of family. We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy.
  • Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women's Network, Scotts Black Employees' Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards.
  • Join a company with a strong belief in giving back to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team.

Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities.
Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace.
EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity
Notification to Agencies:
Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.