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Predictive Modeling Jobs in Columbus, OH (NOW HIRING)

Responsibilities : • Develop and maintain advanced analytics models, dashboards, and reporting solutions using SQL, R, and other analytical tools. • Apply forecasting, predictive modeling ...

New

Apply forecasting, predictive modeling, clustering, and machine learning techniques to generate actionable business insights. * Analyze marketing, customer, and sales data to identify trends ...

Senior AI/ML Engineer

Columbus, OH · Remote

$90 - $100/hr

The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross ...

... and predictive modeling efforts to inform strategic decision-making. Cross Departmental Collaboration • Work closely with other departments on financial planning, budgeting, and reporting to ...

... predictive modeling efforts to inform strategic decision-making. Cross Departmental Collaboration · Work closely with other departments on financial planning, budgeting, and reporting to support ...

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Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for predictive modeling in Columbus, OH is $56.71, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $65.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or specialized software and often require knowledge of data analysis, statistics, and programming. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

What jobs make $1,000,000 a year?

In predictive modeling, high-earning roles such as senior data scientists, machine learning engineers, and analytics directors can reach or exceed $1 million annually, especially in top tech companies or financial firms. These positions typically require advanced skills in statistical analysis, programming, and experience with big data tools, along with leadership responsibilities and often performance-based bonuses or equity.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R. Continuous learning and relevant experience are more important than age when pursuing a data science career.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What job makes $10,000 a month without a degree?

Predictive modeling roles, such as data scientists or machine learning engineers, can earn $10,000 or more per month with significant experience and expertise in statistical analysis, programming, and data tools. These jobs often require strong skills in Python, R, or SQL and may involve working in tech, finance, or consulting environments, but typically do not require a formal degree if skills are demonstrated through portfolios or certifications.
What are popular job titles related to Predictive Modeling jobs in Columbus, OH? For Predictive Modeling jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Columbus, OH look for? The top searched job categories for Predictive Modeling jobs in Columbus, OH are:
E-Commerce Data Analyst

E-Commerce Data Analyst

Kimball Midwest

Columbus, OH • On-site

Full-time

Posted 2 days ago


Kimball Midwest rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

243rd of 338 rated retail wholesalers


Job description

Job Summary:
Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for an E-Commerce Data Analyst for their Columbus, OH location. The role involves developing advanced analytics models and reporting solutions to generate actionable business insights and improve marketing effectiveness.
Responsibilities:
• Develop and maintain advanced analytics models, dashboards, and reporting solutions using SQL, R, and other analytical tools.
• Apply forecasting, predictive modeling, clustering, and machine learning techniques to generate actionable business insights.
• Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas for optimization.
• Conduct ad hoc analyses to answer business questions and support strategic initiatives.
• Segment customers and prospects to identify high-value audiences, growth opportunities, and targeted marketing strategies.
• Evaluate customer behavior, purchasing patterns, and campaign performance to improve marketing effectiveness.
• Create and maintain data visualizations that effectively communicate findings to technical and non-technical audiences.
• Perform data extraction, cleansing, validation, and preparation using SQL and other data management tools.
• Identify process improvement opportunities and develop standardized reporting and analytical practices.
• Manage multiple projects simultaneously while meeting deadlines in a fast-paced environment.
• Collaborate effectively with cross-functional teams, including Marketing, Sales, IT, and Leadership.
• Communicate analytical findings and recommendations clearly through written reports, presentations, and discussions.
• Demonstrate strong analytical thinking, organizational skills, and project management capabilities.
• Exhibit intellectual curiosity, continuous learning, and a proactive approach to problem-solving.
• Work independently while contributing effectively within team environments.
• Maintain a working knowledge of marketing best practices, tactics, and strategies, with the ability to measure and evaluate program performance.
• Experience working with web analytics platforms and digital marketing performance data.
• Effectively prioritize workload and manage time across competing business priorities.
Qualifications:
Required:
• Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered.
• 2–5 years of experience in marketing analytics, business analytics, data science, or a related analytical role.
• Advanced proficiency in SQL and Microsoft Excel.
• Experience with statistical programming languages such as R or Python.
• Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.
• Demonstrated ability to translate complex data into actionable business recommendations.
Preferred:
• Microsoft Certified Power BI Data Analyst Associate certification or equivalent experience.
Company:
Kimball Midwest is an e-commerce store that offers an array of abrasive, automotive, electrical, paint, and cleaning products. Founded in 1923, the company is headquartered in Columbus, USA, with a team of 1001-5000 employees. The company is currently Late Stage.