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Remote Mathematical Modeling Jobs in Ohio (NOW HIRING)

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Hands‑on experience (4+ years) with data modeling, statistics, and applied mathematics * 4+ years ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

centralins

Senior Actuarial Analyst

Dublin, OH · On-site +1

Work Model: Remote Position type: Full time - salary We are a team of employees who are passionate ... Bachelor's degree in Mathematics, Actuarial science, Statistics, Analytics or related field and 2 ...

centralins

Senior Actuarial Analyst

Dublin, OH · On-site +1

Work Model: Remote Position type: Full time - salary We are a team of employees who are passionate ... Bachelor's degree in Mathematics, Actuarial science, Statistics, Analytics or related field and 2 ...

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic ...

Relativity

Principal Applied Scientist

Columbus, OH · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Our work goes far beyond simple model integrations. We build agentic systems that reason over ...

Tetra Tech

Civil CAD Designer II

Cincinnati, OH · On-site +1

$31 - $40/hr

This opportunity is remote position. Why Tetra Tech: At Tetra Tech, we are Leading with Science to ... Develop 2D and 3D models of proposed designs using CAD software Required Qualifications:

Huntington

Decision Analyst: Onsite

Cleveland, OH · On-site +1

... Mathematics, or Engineering. A minimum of 1 year of experience in data mining, programming, or ... D., JD, etc.) Experience working with data mining models, structures, theories, principles, and ...

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Remote Mathematical Modeling information

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Modeler, and why are they important?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.
What are the most commonly searched types of Mathematical Modeling jobs in Ohio? The most popular types of Mathematical Modeling jobs in Ohio are:
What are popular job titles related to Remote Mathematical Modeling jobs in Ohio? For Remote Mathematical Modeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Mathematical Modeling jobs in Ohio look for? The top searched job categories for Remote Mathematical Modeling jobs in Ohio are:
What cities in Ohio are hiring for Remote Mathematical Modeling jobs? Cities in Ohio with the most Remote Mathematical Modeling job openings:
Remote Mathematical Modeling jobs near you
Data Scientist - Predictive Analytics

Data Scientist - Predictive Analytics

MCKESSON

Columbus, OH • On-site, Remote

$108K - $181K/yr

Full-time

Posted 25 days ago

McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 201 frontline employees who took The Breakroom Quiz

41st of 71 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and—most importantly—patients. 

Role Overview 

We are seeking a Data Scientist to support forecasting and demand planning initiatives, including volume and contact center forecasting. This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision‑making. 

You will work closely with cross‑functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes. 

Key Responsibilities:

  • Analyze large, complex datasets to improve forecasting accuracy and operational planning 

  • Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting 

  • Apply time‑series forecasting, predictive modeling, and scenario planning techniques to anticipate demand 

  • Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience 

  • Create and present clear data visualizations and insights for technical and non‑technical audiences 

  • Communicate forecasting results and recommendations to internal teams and occasional external partners 

  • Support optimization of staffing and workforce planning models with guidance from senior team members 

 
Priority will be given to candidates who reside in the Columbus, OH metropolitan area 

 

We are unable to provide sponsorship for work authorization for this role, presently or in the future. 

Minimum Requirements 

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience 

  • 4+ years of experience applying advanced analytics to solve business problems 

Critical Skills & Experience 

  • Strong experience (4+ years) with forecasting and statistical modeling, including time‑series analysis 

  • Proficiency (4+ years) in Python (required) and experience with R 

  • Advanced (4+ years) SQL and experience working with large datasets 

  • Hands‑on experience (4+ years) with data modeling, statistics, and applied mathematics 

  • 4+ years' Experience using Databricks, Snowflake, or similar cloud‑based data platforms 

  • Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues 

  • Experience creating analytics‑driven visualizations and presenting insights clearly 

  • Comfortable working with moderate autonomy in a collaborative, cross‑functional environment 

Preferred / Nice‑to‑Have 

  • Experience with contact center analytics, workforce management, or operational forecasting 

  • Background in healthcare, pharmaceutical, biopharma, or insurance environments 

  • Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees 

  • Familiarity with Azure, automation, version control, or model deployment workflows 

  • Strong communication, presentation, and stakeholder‑management skills 

  • Intellectual curiosity, comfort with ambiguity, and desire to continuously learn 

 
 

Additional Information 

  • Must be authorized to work in the U.S. (no sponsorship available) 

  • Standard office/remote work environment 

CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive. 

 
 

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$108,800 - $181,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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