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Quantitative Researcher Jobs in Columbus, OH (NOW HIRING)

The Scotts Company LLC

Quantitative Analyst

Columbus, OH · On-site

$77.20K - $90.80K/yr

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 ...

Northwest Bank

Quantitative Analyst II

Columbus, OH

Participate in the research, design, and implementation of new financial products and portfolio ... Develop data environment to support needs of all quantitative activities * Review academic and ...

Northwest Bank

Quantitative Analyst III

Columbus, OH

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst III is responsible for supporting ... Participate in the research, design, and implementation of new financial products and portfolio ...

Northwest

Quantitative Analyst II

Columbus, OH

... the research, design, and implementation of new financial products and portfolio strategies ... quantitative activities Review academic and industry research, present summaries to partners and ...

Northwest

Quantitative Analyst III

Columbus, OH

... the research, design, and implementation of new financial products and portfolio strategies ... quantitative activities Review academic and industry research, present summaries to partners and ...

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How much do quantitative researcher jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative researcher in Columbus, OH is $112,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $143,600.00 per year, depending on experience, location, and employer.

What Is a Quantitative Researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

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

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

What are some common challenges Quantitative Researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

What are quantitative researchers?

Quantitative researchers are professionals who apply mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, investment, or scientific research. They design models and algorithms to identify trends, make predictions, and inform decision-making. In finance, quantitative researchers, often called 'quants,' develop trading strategies and risk management tools based on quantitative analysis. Their work typically involves programming, data analysis, and a strong understanding of mathematical concepts. Quantitative researchers are crucial for organizations that rely on data-driven insights.
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What are the most commonly searched types of Quantitative Researcher jobs in Columbus, OH? The most popular types of Quantitative Researcher jobs in Columbus, OH are:
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What job categories do people searching Quantitative Researcher jobs in Columbus, OH look for? The top searched job categories for Quantitative Researcher jobs in Columbus, OH are:
Quantitative Researcher jobs near you
Infographic showing various Quantitative Researcher job openings in Columbus, OH as of May 2026, with employment types broken down into 1% Internship, 49% Full Time, 45% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 59% Physical, 9% Hybrid, and 32% Remote job distribution, with an average salary of $112,178 per year, or $53.9 per hour.
Quantitative Analyst

Quantitative Analyst

The Scotts Miracle-Gro Company

Columbus, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

ScottsMiracle-Gro rating

7.0

Company rating: 7.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

370th of 511 rated manufacturers

Job description

Job Summary:
The Scotts Miracle-Gro Company is a dynamic organization focused on growth and innovation. The Quantitative Analyst will manage high-impact research projects, primarily focusing on survey design and consumer data analysis to inform key business decisions. This role requires a blend of statistical programming and modern data tools to enhance data quality and workflow efficiency.
Responsibilities:
• 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.
Qualifications:
Required:
• 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
Preferred:
• A blend of consumer research/survey design experience AND technical data skills.
• Masters degree preferred
Company:
Founded in 1868 in Marysville, Ohio, The Scotts Miracle-Gro Company is the leading marketer of branded consumer lawn and garden products in North America. Founded in 1868, the company is headquartered in Marysville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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