ZipRecruiter

Log In

1

Operation Research Data Scientist Jobs (NOW HIRING)

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

The Pennsylvania State University

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science ... Work within DoD/IC Analysis or Operational environments * Ability to design experiments, perform ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

next page

Showing results 1-20

All JobsOperation Research Data Scientist Jobs

Operation Research Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do operation research data scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for operation research data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an Operations Research Data Scientist?

An Operations Research Data Scientist is a professional who combines advanced analytical, statistical, and mathematical modeling techniques to solve complex business problems and optimize processes. They utilize tools from operations research, such as linear programming, simulation, and optimization algorithms, alongside data science skills like machine learning and data analysis. Their goal is to help organizations make data-driven decisions that improve efficiency, reduce costs, and enhance overall performance.

How do Operation Research Data Scientists typically collaborate with cross-functional teams to implement data-driven solutions?

Operation Research Data Scientists often work closely with colleagues from engineering, product management, and business analytics to translate complex mathematical models into actionable strategies. They participate in regular meetings to align on project goals, share analytical findings, and integrate optimization algorithms into existing systems. Collaboration involves clear communication of technical concepts to non-technical stakeholders and iteratively refining solutions based on feedback, ensuring that their work delivers tangible value to organizational objectives.

What are the key skills and qualifications needed to thrive as an Operations Research Data Scientist, and why are they important?

To thrive as an Operations Research Data Scientist, you need a solid background in mathematics, statistics, optimization, and computer science, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with optimization libraries (like Gurobi or CPLEX), and familiarity with data analysis platforms are typically required. Strong problem-solving abilities, communication skills, and business acumen set standout professionals apart in this role. These competencies are crucial for developing actionable solutions to complex business problems and effectively communicating insights to stakeholders.
More about Operation Research Data Scientist jobs
What cities are hiring for Operation Research Data Scientist jobs? Cities with the most Operation Research Data Scientist job openings:
What states have the most Operation Research Data Scientist jobs? States with the most job openings for Operation Research Data Scientist jobs include:
What job categories do people searching Operation Research Data Scientist jobs look for? The top searched job categories for Operation Research Data Scientist jobs are:
Operation Research Data Scientist jobs near you
Infographic showing various Operation Research Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Re-posted 25 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.