Data Scientist
Cincinnati, OH · On-site
$85K - $122K/yr
... and implementing innovative models that enhance our processes. You will be expected to ... Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
Data Scientist
Cincinnati, OH · On-site
$85K - $122K/yr
... and implementing innovative models that enhance our processes. You will be expected to ... Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
Entry Level Mathematical Modeling information
See Harrison, OH salary details
$23.7K - $27.5K
1% of jobs
$27.5K - $31.2K
6% of jobs
$31.2K - $35K
6% of jobs
$38.3K is the 25th percentile. Wages below this are outliers.
$35K - $38.7K
13% of jobs
$38.7K - $42.5K
17% of jobs
The median wage is $43.7K / yr.
$42.5K - $46.2K
20% of jobs
$48.7K is the 75th percentile. Wages above this are outliers.
$46.2K - $50K
18% of jobs
$50K - $53.7K
9% of jobs
$53.7K - $57.5K
5% of jobs
$57.5K - $61.2K
2% of jobs
$61.2K - $65K
2% of jobs
$23.7K
$45.4K
$65K
How much do entry level mathematical modeling jobs pay per year?
As of Aug 25, 2026, the average yearly pay for entry level mathematical modeling in Harrison, OH is $45,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,400.00 and $49,300.00 per year, depending on experience, location, and employer.
What is an entry level mathematical modeling job?
Entry level mathematical modeling jobs are positions suited for recent graduates or those new to the field, where individuals use mathematical techniques and computational tools to analyze real-world problems. These roles often involve building and testing models to simulate scenarios in fields like finance, engineering, biology, or data science. Professionals in these positions typically work with teams to interpret data, validate models, and provide insights that inform business or research decisions. Strong analytical skills, proficiency in mathematics, and familiarity with programming languages such as Python or MATLAB are commonly required.
What types of projects do entry level mathematical modeling professionals typically work on, and how do they collaborate with other team members?
Entry-level mathematical modeling professionals often work on projects involving data analysis, simulation, or prediction using mathematical and statistical techniques. They typically assist in building and testing models under the supervision of senior analysts or scientists and collaborate closely with data scientists, engineers, and subject matter experts to refine assumptions and validate results. Communication is key, as they need to present findings and adjust models based on feedback. This role offers great exposure to interdisciplinary teams, helping new professionals develop both technical and teamwork skills.
What are the key skills and qualifications needed to thrive as an entry level mathematical modeling professional, and why are they important?
To thrive as an Entry Level Mathematical Modeling professional, you need a solid background in mathematics, statistics, and analytical problem-solving, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or MATLAB and experience using modeling software or statistical packages are commonly required. Strong attention to detail, effective communication, and the ability to collaborate within multidisciplinary teams make candidates stand out. These skills ensure accurate model development, clear interpretation of data, and successful integration of solutions into real-world applications.
What is the difference between Entry Level Mathematical Modeling vs Data Analyst?
| Aspect | Entry Level Mathematical Modeling | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Math, Engineering, or related field | Bachelor's in Statistics, Math, or related field |
| Work Environment | Research labs, engineering firms, tech companies | Business, finance, healthcare sectors |
| Employer & Industry Usage | Used for developing models and simulations | Used for interpreting data and generating reports |
| Common Search & Comparison | Yes | Yes |
Entry Level Mathematical Modeling focuses on creating mathematical representations of real-world systems, often in engineering or scientific contexts. Data Analysts interpret and visualize data to support business decisions. While both roles require strong math skills and similar educational backgrounds, their work environments and primary objectives differ.
What job categories do people searching Entry Level Mathematical Modeling jobs in Harrison, OH look for?
The top searched job categories for Entry Level Mathematical Modeling jobs in Harrison, OH are:
What cities near Harrison, OH are hiring for Entry Level Mathematical Modeling jobs?
Cities near Harrison, OH with the most Entry Level Mathematical Modeling job openings:
Data Scientist
Cincinnati, OH • On-site
Proctor & Gamble •
Health and Personal Care Stores • 10K+ employees10,000+ employees
8.2
Based on 165 frontline employees who took The Breakroom Quiz
85th of 544 rated manufacturers
People enjoy working here
Good employer
Recommended by students
Respectful managers
Learn new skills
$85K - $122K/yr
Full-time
Re-posted 17 days ago
Job description
Job Location
CINCINNATI GENERAL OFFICESJob Description
Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
Key Responsibilities:- Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.
- Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.
- Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
- Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.
- Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.
Job Qualifications
Required Qualifications:
- Education:Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
- Technical Skills:Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to develop and test code within cloud environments.
- Communication:Strong written and verbal communication skills, with the ability to influence others to take action.
Preferred Qualifications:
- Analytic Methodologies:Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
- Continuous Learning:A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
- Data Handling & Cloud:Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure.
- DevOps Familiarity:Familiarity with DevOps environments, including tools like Git and CI/CD practices.
Immigration Sponsorship is not available for this role. For more informationregardingwho is eligible for hire at P&G along with other work authorization FAQ's, please clickHERE.
Procter & Gambleparticipatesine-verifyas required by law.
Qualified individuals will not be disadvantaged based on being unemployed.
We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Schedule
Full timeJob Number
R000135859Job Segmentation
Entry LevelStarting Pay / Salary Range
$85,000.00 - $122,200.00 / year
About Procter & Gamble
Sourced by ZipRecruiter
Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.
Industry
Health and personal care stores
Company size
10,000+ Employees
Headquarters location
Cincinnati, OH, US
Year founded
1837
Website
What Procter & Gamble employees say
Pay
Benefits
Hours and flexibility
Workplace
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