18 of 18 Operations Research Jobs

Summary A growing defense and space-focused organization is seeking an experienced and highly motivated Senior Operations Research Analyst to join its innovative, mission-focused team. This role provides the opportunity to collaborate with a diverse group of experts dedicated to advancing national security space capabilities … supporting critical Department of the Air Force missions. In this position, the Senior Operations Research Analyst will support a portfolio of special projects, including Tactically Responsive Space (TacRS) missions. The selected candidate will leverage deep technical, operational, and analytical expertise to enable the rapid planning, integration ...

group TV-L E13, 100% The Professorship of Operations Management (Prof. Dr. Dr. h.c. G. P. Kiesmüller) at TUM Campus Heilbronn is looking for a research assistant (PhD candidate) (m/f/d). This position is available immediately and is fixed for a term … associate will also take on teaching responsibilities. About us The research orientation of the professorship is characterized by the application of operations research methods or machine learning for the analysis and solution of problems in the field of operations management. The research ...

Responsibilities The Operations Research Analyst will: Plan and execute Tactically Responsive Space (TacRS) missions, including spacecraft integration, ground systems, launch operations, logistics, and on-orbit execution Conduct mission analysis, mission planning, CONOPS development, and readiness exercises to support responsive space operations Coordinate daily with government … customers, mission partners, and industry stakeholders to ensure mission alignment and rapid execution Manage the Rendezvous and Proximity Operations (RPO) technical baseline, leading integration across spacecraft buses, payloads, ground systems, software, and mission systems Maintain technical risk registers and develop mitigation strategies across mission and system elements Perform technical ...

Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling … Azure SQL or PostgreSQL Experience working with high volume or time based data, including feature engineering Experience with simulation, discrete event simulation, or operations research techniques is highly desirable Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable working in fast paced, operational environments Proactive ...

planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans. Education: Bachelor's Degree in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline required. Preferred: Knowledge of Princeton's mission Experience in higher ...

developing analytical and AIenabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset … contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.* Learning & development – Build team capability by offering development opportunities that strengthen professional growth and prepare the team ...

weeks. • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations. • Contribute to the shared Hive knowledge base (reusable agents, templates … network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more ...

Then Build Predictive Models Most data engineering roles stay data engineering roles. This one won’t. You studied maths, stats, physics, or maybe even Operations Research. You only took a data engineering job because it was the sensible move and there weren't many opportunities available to become … match. What you’ll need Strong SQL, Python, and Spark/PySpark skills Experience in data pipeline design A quantitative degree - Maths, Stats, Physics, Operations research About the company You'll be working for one of the world's leading research-driven pharmaceutical companies, with ...

Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering end-to-end data solutions Strong ...

Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific use case. · Scenario Simulation: Build models that allow business users to simulate various operational scenarios ...

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 ...

role. They need someone who can identify business problems, map data architecture, and help drive solutions end-to-end. You'll work directly with operations, research, and investment teams to understand what data they need, where bottlenecks exist, why data is delayed or missing … data solutions, not just implement specifications Strong Python and SQL skills Experience with AWS services Infrastructure-as-code experience Comfort with production operations — monitoring, incident response, and debugging distributed systems Strong stakeholder communication skills — you'll work directly with non-technical teams across the business Comfortable using modern ...

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

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++ ...

most cutting-edge Azure-based tech stack. We are looking for: An experienced Data Scientist (minimum 3 years) with a background in Operations Research data, Supply Chain data, Logistics data or similar Proficiency in Python and SQL The ability to engage with senior stakeholders, translating your complex ...

accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles … Staff roles. What We’re Looking For Experience: 2–4 years experience with a mix of consulting, and start-ups; founder’s office, operations, or strategy roles in high-growth environments. Strategic Executor: Ability to take ambiguous problems, break them down, and drive toward solutions. Strong Communicator: Excellent written ...

Data Science Consultant | AI, Advanced Analytics & Operational Research UK | Hybrid 3 days Site/Client attendance Working with a leading consulting and technology organisation using AI and advanced analytics to complement traditional operational research and modelling, solving complex, real-world problems across industries. The role … functional delivery Tech Python, SQL, R, Databricks, PySpark, GIS tools, optimisation frameworks, cloud platforms Requirements Degree or higher in Data Science, Mathematics, Operational Research, Engineering, Physics, Geography, or similar Experience working with geospatial data, GIS, or location-based analytics Strong grounding in modelling, optimisation, or advanced analytics Interest ...

environment) OneChronos is a technology company of diverse technologists, scientists, and market structure enthusiasts innovating at the intersection of capital markets, mechanism design, and operations research. We strive to grow global GDP by designing and operating matching markets leveraging advances in auction theory and artificial intelligence. We’re expanding … Amsterdam. This role is ideal for someone with 1-3 years of experience in financial markets, eager to develop their skills in electronic trading operations and market connectivity infrastructure. As part of our European Multilateral Trading Facility (MTF) operations team, you will play a key role in ensuring ...