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Operations Research Entry Level Jobs in Ohio (NOW HIRING)

Utilizing your expertise in Operations Research (including optimization and simulation) and machine ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Research Assistant

Upper Arlington, OH · On-site

$17.50 - $24/hr

The research assistant position is an entry-level, full-time role for professionals who would like ... The purpose of this position is to provide coordination and support for OHRI Research Operations as ...

This is an entry level position on a dynamic team with an opportunity to grow a legal marketing ... Assisting with client reporting, research tasks, and compiling background information for business ...

This is an entry level position on a dynamic team with an opportunity to grow a legal marketing ... Assisting with client reporting, research tasks, and compiling background information for business ...

From entry-level to more experienced positions, we're actively recruiting individuals who are ... Research, prepare, submit, and secure oversize and overweight permits through state DOT portals ...

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Operations Research Entry Level information

What are the key skills and qualifications needed to thrive as an Entry-Level Operations Research Analyst, and why are they important?

To thrive as an Entry-Level Operations Research Analyst, you typically need a strong background in mathematics, statistics, and analytical reasoning, often supported by a bachelor's degree in operations research, mathematics, engineering, or a related field. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and optimization tools is commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for presenting data-driven insights to stakeholders. These skills and qualities are essential for developing practical solutions to complex business challenges and supporting data-informed decision-making.

What is the difference between Operations Research Entry Level vs Data Analyst Entry Level?

AspectOperations Research Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentAnalytical teams, consulting firms, or corporate planning departmentsBusiness, finance, marketing, or tech companies
Employer & Industry UsageManufacturing, logistics, consulting, governmentFinance, healthcare, retail, tech
Common Search & ComparisonOperations Research Entry Level vs Data Analyst Entry Level

While both roles involve analyzing data to support decision-making, Operations Research Entry Level focuses on optimization, modeling, and complex problem-solving using mathematical techniques. Data Analyst Entry Level emphasizes data collection, visualization, and basic statistical analysis. The roles often overlap in skills and work environments but differ in their core methodologies and industry applications.

What types of projects can an entry-level Operations Research professional expect to work on, and how do they typically contribute to team outcomes?

As an entry-level Operations Research professional, you can expect to work on projects involving data analysis, process optimization, and modeling to support decision-making within the organization. Common tasks include collecting and cleaning data, developing mathematical models to solve business problems, and assisting in the implementation of solutions. You will often collaborate with cross-functional teams such as supply chain, finance, or IT, presenting your findings and recommendations to support organizational objectives. This role provides a strong foundation in analytical thinking and teamwork, offering opportunities to gradually take on more complex projects and responsibilities as you gain experience.

What are operations research entry level jobs?

Operations research entry level jobs are positions for recent graduates or individuals new to the field, where employees use mathematical modeling, statistical analysis, and optimization techniques to help organizations solve complex problems and make better decisions. These roles typically involve data analysis, developing algorithms, and assisting with project implementation under the guidance of senior analysts. Entry-level operations research professionals often work in industries such as logistics, finance, manufacturing, or government, contributing to efficiency and strategic planning.
What are the most commonly searched types of Operations Research jobs in Ohio? The most popular types of Operations Research jobs in Ohio are:
What cities in Ohio are hiring for Operations Research Entry Level jobs? Cities in Ohio with the most Operations Research Entry Level job openings:
Data Scientist

$85K - $122K/yr

Full-time

Re-posted 4 days ago


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

67th of 527 rated manufacturers


Job description

Job Location

CINCINNATI GENERAL OFFICES

Job 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 time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Procter & Gamble logo

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