1 to 25 of 27 Operations Research Jobs

platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math … Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain ...

or M Tech/MS or equivalent in Mechanical/Metallurgical/Electrical/Electronics/Computer Science/Instrumentation/Industrial Engineering/Operations Research or any other relevant discipline. Relevant experience: 2-4 years of experience Locations: Jamshedpur/Kalinga Nagar/Kolkata/Mumbai … Full Stack Developer Key Roles & Responsibilities Assume a strong sense of ownership of the product: Design, develop & deploy. Collaborate with senior management, operations & business team. Work closely with operations and infrastructure to build high scale backend services. Ensure Quality & sustainability of the architecture. Requirements B.Tech/M.Tech graduates ...

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 participation in our knowledge sharing community. Develop state … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with reasonable industry experience, or an MS with significant industry or research experience. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments ...

Drive firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business. Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities … quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background in NLP, LLM, and graph analytics plus hands‐on experience and solid understanding of machine learning and deep learning methods. Hands ...

Amazon's freight transportation network, from network design and pricing to real‐time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real‐time execution depends on state‐of‐the‐art optimization … Qualifications 5+ years of building machine learning models or developing algorithms for business application experience PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master’s degree and 10+ years of industry or academic research experience ...

complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. \n \n Nice-to-Haves: \n · Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. \n · Domain Knowledge: Prior ...

explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners.\ N \nNice-to-Haves:\ N· Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.G., Gurobi, Google OR-Tools) to solve real world problems.\ N· Domain Knowledge: Prior ...

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. About the team Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into … machine learning models for business application Experience in applied research PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experience Preferred Qualifications Experience using managed ML/AI solutions Experience ...

areas of the business\ N\nRequired qualifications, capabilities, and skills\ N\nPhD in a quantitative discipline, e.G. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research\ NAbility to conduct literature research in unfamiliar fields\ NHands-on experience and solid understanding of machine learning and deep … Cashflow statement\ NAbility to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests; \nPublished research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal ...

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.\ NSolid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning … metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\ NPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\ N\nAbout MLCOE\n The Machine Learning Center ...

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\ NExtensive experiencewith machine learning and deep learning toolkits (e.G.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\ NAbility to design experiments … metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\ NPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\ N \n\nAbout MLCOE\ N The Machine Learning ...

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 … 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 ...

machine learning and optimization models for large-scale transportation planning systems. This includes the development of dynamic pricing and network planning models to improve operations and services for our external freight customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation … network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial intelligence to coordinate thousands ...

standards and code review. Skills Required: A degree in a quantitative, analytical or spatial subject such as geography, data science, statistics, mathematics, operational research, economics, engineering, GIS, planning or a related field. Good Python skills, particularly for data manipulation and analysis using libraries such as pandas. Practical experience ...

HuggingFace, Langchain, and OpenAI. Hands‐on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Experience communicating and teaching technical concepts to non‐technical and technical audiences alike. Passion for collaboration, lifelong ...

environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems … large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage ...

understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from operational research and data analysis to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for a Senior Data Scientist to join ...

potential operational constraints Translating technical analysis into clear insight and recommendations Experience required: Applied machine learning and statistical modelling Forecasting, simulation, optimisation or operational research techniques R programming (Python experience beneficial) SQL and working with large datasets Ability to explain technical findings clearly to different audiences A background ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

potential operational constraints ·Translating technical analysis into clear insight and recommendations Experience required: ·Applied machine learning and statistical modelling ·Forecasting, simulation, optimisation or operational research techniques ·R programming (Python experience beneficial) ·SQL and working with large datasets ·Ability to explain technical findings clearly to different audiences A background ...

so the founders walk into key conversations fully prepared Coordinate UK and international travel with clear, well-structured itineraries Personal support as required Operations & Administration Help manage office operations and day-to-day logistics Coordinate suppliers, invoices, and expenses Support internal organisation across tools like Notion … Draft detailed investor materials, updates, and communications Help ensure important relationships stay warm and well managed Projects Take ownership of ad hoc projects across operations, research, and communications If something important is stuck and has no obvious owner, you'll likely end up unblocking it Profile ...

facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures … During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

roles which your background might be better suited to. A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics Experience of conducting analysis for evidence-based decision making, designing and developing models and conducting analysis to support data-centric decision … delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development. A genuine affinity for problem solving - an inquisitive mind who wants ...

field support, and training curriculum development for Naval applications. OR a Bachelor's degree from an accredited college or university in Engineering, Mathematics, Physics, Operations Research, Computer Science, or Business and ten (10) years of experience as a manager of a team of diverse skilled professional, technical ...