1 to 25 of 50 Operations Research Jobs

data to influence change across the organization Develop input and assumptions based on preexisting models to estimate costs and savings opportunities associated with varying levels of network growth and operations Create metrics to measure business performance, identify root causes and trends, and prescribe action plans Manage multiple high-impact projects simultaneously Work with technology teams and product managers to … growth Communicate with and support various internal stakeholders and external audiences Implement scheduling solutions, improve metrics, and develop scalable processes and tools The ideal candidate will have: PhD in Operations Research, Statistics, Engineering, or Supply Chain Management Extensive experience in operations research and data-driven decision making Strong analytical and problem-solving skills Robust … think strategically and make data driven decisions from day one. Join us in shaping the future of e commerce delivery and addressing the core challenges in our world class operations space! Key job responsibilities Advanced Modeling and Algorithm Development: Design and implement sophisticated machine learning models for logistics optimization Develop complex time series forecasting algorithms for demand prediction and More ❯

opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force … the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics More ❯

and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love. Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion. Lean on your deep technical background in graph-based machine learning, deep learning … the following with an expectation that the required degree will be obtained on or before the scheduled start date : A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics More ❯

and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love. Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion. Lean on your deep technical background in graph-based machine learning, deep learning … the following with an expectation that the required degree will be obtained on or before the scheduled start date : A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics More ❯

the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field More ❯

our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing … the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics More ❯

the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field More ❯

to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark. The Ideal Candidate is Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing … the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications Master's Degree in "STEM" field More ❯

Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We … and research discussions to build expertise in efficient AI and edge computing Basic Qualifications Bachelor's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field PhD, or a Master's degree and experience with popular deep learning frameworks such as MxNet and Tensor Flow Experience … C++, Python, or a related language 1+ years of industry or academic research experience Preferred Qualifications Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with data modeling, warehousing and building ETL pipelines Experience with training and deploying machine learning systems to solve large More ❯

BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes … Bachelor) or current grade (Master) What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to More ❯

market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and productionize … optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable … models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in More ❯

market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and productionize … optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable … models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in More ❯

market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and productionize … optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable … models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in More ❯

market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and productionize … optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable … models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in More ❯

market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and productionize … optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable … models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in More ❯

the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics … Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position More ❯

insights, and a passion for innovation in market research, this is your chance to make a real difference. In this role, you will work closely with our operations, research, and tech teams, while engaging directly with senior decision-makers at global brands. It's a unique opportunity to shape strategy, drive growth, and build long … execute outbound campaigns (email, events, content) to generate qualified leads and enterprise opportunities. Use CRM platforms (HubSpot, Salesforce) to track pipeline, automate outreach, and report performance. Collaborate closely with operations, research, and tech teams to align customer needs and ensure seamless delivery. Engage directly with senior stakeholders at global Consumer Packaged Goods companies, innovation hubs, and strategic … as a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success in outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc. More ❯

partners across the globe. About this role: This is more than a management role; it's a leadership opportunity. You will lead a diverse team of Data Scientists and Operations Research Scientists across Europe and North America, acting as the primary architect of their culture. Your mission is to build an environment of high psychological safety where … and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver extraordinary results while building a cohesive, collaborative unit that transcends geographic boundaries. You won't do this alone. … at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record of successfully evolving existing More ❯

level, Bachelor) or current grade (Master) What You'll Bring REQUIREMENTS: Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to More ❯

to make a real difference in healthcare? The Health Data and Analytics team is dedicated to transforming health outcomes through innovative data-driven solutions. Our goal is to optimise operations, improve patient care, and deliver measurable value across the organisation by leveraging advanced analytics, machine learning, and AI techniques. We're committed to building a culture where data is … if you're interested in joining us at AXA, please don't hesitate to apply. Qualifications Bachelor's, Master's, or PhD in data science, computer science, mathematics, statistics, operations research, or a related technical field. Proven experience in AI, machine learning, data management, or data science roles within large organisations, with a track record of delivering More ❯

to make a real difference in healthcare? The Health Data and Analytics team is dedicated to transforming health outcomes through innovative data-driven solutions. Our goal is to optimise operations, improve patient care, and deliver measurable value across the organisation by leveraging advanced analytics, machine learning, and AI techniques. We're committed to building a culture where data is … interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Bachelor's, Master's, or PhD in data science, computer science, mathematics, statistics, operations research, or a related technical field. Proven experience in AI, machine learning, data management, or data science roles within large organisations, with a track record of delivering More ❯

technical concepts into clear, accessible explanations for business audiences. Collaborate closely with engineers, consultants, and clients to turn data into impact. Support the creation of thought leadership through research, white papers, and conferences. Take part in … all stages of the analytics lifecycle — from discovery to deployment and optimisation. What you'll bring Currently pursuing a Master's or PhD in Data Science, Computer Science, Statistics, Operations Research, or a related field. Strong experience with Python and a good understanding of modern machine learning methods. Excellent analytical and problem-solving skills, with the ability More ❯

rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from their research. Our position offers … remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in … building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models … PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience … B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal We are an equal opportunity employer and place a high value on diversity More ❯

must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models … a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and … B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the More ❯