operations research scientist

MAERSK

<div><div><div><div><div>AI/ML Scientist (Operations research/Optimization/Simulation)
 
 
A.P. Moller - Maersk
 
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The team - who are we:
We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers. 
 
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. 
 
We are now seeking a new team member who is excited about developing advanced simulation models,optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency
and business value.
We Offer - This Is What You Get
You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and
iterating on products that directly impact terminal operations. 
 
This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
operational and strategic insights that are transforming container terminal operations globally.
 
This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in
terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad
possibilities to further develop competencies in an environment characterized by change and continuous Progress.
Key Responsibilities
<ul><li>Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
</li><li>Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
</li><li>Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
</li><li>Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
</li><li>Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
</li><li>Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
</li></ul>To do this job, we imagine you have:
<ul><li>5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
</li><li>PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
</li><li>Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
</li><li>Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
</li><li>Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
</li><li>Excellent record of delivery using Python and technologies like Git, JIRA, etc.
</li><li>Ability to understand complex operational systems and translate business requirements into effective technical solutions.
</li><li>Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
</li><li>Experience working with cloud environments.
</li></ul>Nice to have:
<ul><li>Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
</li><li>Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
</li><li>Experience developing and interacting with generative AI models.
</li></ul></div></div></div></div>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

AI/ML Scientist(Operations research/Optimization/Simulation)

<div>Senior AI/ML Scientist(IC) (Simulation/Operations Research/Optimization) 
 
A.P. Moller - Maersk
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The team - who are we:
We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML),advanced simulation, optimization and engineering excellence to make a difference for our customers. 
 
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. 
 
We are now seeking a new team member who is excited about developing advanced simulation models, optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency and business value.
We Offer - This Is What You Get
You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
terminals. As a Senior AI/ML Scientist, you will have a leading role in designing, building, maintaining, and iterating on products that directly impact terminal operations. 
 
This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
operational and strategic insights that are transforming container terminal operations globally. 
 
This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global
trade via world-leading container terminals. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous
Progress.
Key Responsibilities
<ul><li>Lead the design, implementation and delivery of advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
</li><li>Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
</li><li>Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
</li><li>Coach and mentor junior team members in simulation modelling, optimization techniques, and AI/ML methods.
</li><li>Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
</li><li>Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
</li><li>Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
</li></ul>To do this job, we imagine you have:
<ul><li>7+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
</li><li>PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
</li><li>Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
</li><li>Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
</li><li>Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
</li><li>Excellent record of delivery using Python and technologies like Git, JIRA, etc.
</li><li>Ability to understand complex operational systems and translate business requirements into effective technical solutions.
</li><li>Experience in leading technical work, coaching junior colleagues, and driving projects from concept to delivery.
</li><li>Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
</li><li>Ability to do system design, architecture, and solution design for new features.
</li><li>Experience working with cloud environments.
</li></ul>Nice to have:
<ul><li>Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
</li><li>Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
</li><li>Experience developing and interacting with generative AI models.
</li></ul>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

Senior AI/ML Scientist (Simulation/Optimization/Operations Research)

Yıldız Tech

<div>
 
 
 About the job
 
 
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our more than 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist (Operations Research &amp; Optimization)
 
 to design and implement advanced optimization and decision-support solutions. In this role, you will work on projects such as route optimization, inventory and stock optimization, resource allocation, production scheduling, profit maximization, and other operations research problems. You will collaborate with business and engineering stakeholders to transform complex operational problems into scalable, data-driven optimization solutions.
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 Researching, designing, implementing, and evaluating optimization algorithms and mathematical models (linear, integer, mixed-integer, nonlinear, stochastic programming, heuristics/metaheuristics, etc.).
 </li>
 <li>
 Developing models to optimize supply chain, logistics, and production planning decisions (e.g., inventory policies, routing, scheduling, resource allocation).
 </li>
 <li>
 Building simulation and what-if analysis tools to support strategic and tactical decision-making.
 </li>
 <li>
 Integrating statistical and machine learning techniques with optimization models &mdash; e.g., using demand forecasting to feed planning models, clustering to enable scalable route optimization and regression models to estimate cost effects.
 </li>
 <li>
 Preprocessing and preparing data from multiple sources to be used in optimization and mathematical modeling.
 </li>
 <li>
 Implementing robust algorithms and ensuring their scalability for large datasets and complex real-world problems.
 </li>
 <li>
 Creating reports, maps and visualizations to communicate model outputs and recommendations effectively.
 </li>
 <li>
 Collaborating with cross-functional teams including operations, supply chain, production, and IT stakeholders to understand requirements and deliver impactful solutions.
 </li>
 <li>
 Staying updated on the latest research and industry practices in operations research, optimization, and applied AI.
 </li>
 <li>
 Documenting methodologies, models, and results in clear, reproducible formats.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS/MS Degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science/Engineering (or other related quantitative fields).
 </li>
 <li>
 Minimum 3 years of experience in operations research, optimization, or related data science fields.
 </li>
 <li>
 Strong background in mathematical optimization (LP, IP, MIP/MILP, nonlinear optimization, stochastic optimization).
 </li>
 <li>
 Hands-on project experience in areas such as:
 </li>
 <li>
 Routing and scheduling (e.g., VRP, TSP, logistics planning)
 </li>
 <li>
 Production planning and scheduling
 </li>
 <li>
 Inventory and safety stock optimization
 </li>
 <li>
 Resource allocation and assignment problems
 </li>
 <li>
 Proficiency in Python and optimization libraries/tools (e.g., CPLEX, OR-Tools, Pyomo, PuLP).
 </li>
 <li>
 Strong analytical and problem-solving skills with ability to translate business problems into mathematical formulations.
 </li>
 <li>
 Good command of SQL for working with large-scale datasets.
 </li>
 <li>
 Excellent communication skills and ability to work with cross-functional teams.
 </li>
 <li>
 Fluency in English.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Knowledge of statistical/machine learning methods to complement optimization solutions (forecasting, clustering, regression models, etc).
 </li>
 <li>
 Experience in cloud environments (AWS, Azure) for scalable model deployment.
 </li>
 <li>
 Practical experience with deploying optimization models into production environments.
 </li>
 <li>
 Familiarity with reinforcement learning and its applications in operations optimization.
 </li>
 <li>
 Strong mathematical and analytical mindset with a passion for optimization.
 </li>
 <li>
 Ability to design creative and practical solutions for complex operational problems.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Hands-on mindset: from problem formulation to model implementation and deployment.
 </li>
 <li>
 Curiosity and eagerness to stay up-to-date with cutting-edge optimization and operations research techniques.
 </li>
 <li>
 Team spirit and adaptability in collaborative environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
 
 
</div>

Data Scientist (Operations Research & Optimization)

Data Science Festival

Lead Data Scientist - Routing Salary: Up to £100k + Benefits Location: London, Hybrid Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions. What's in it for you? <ul><li> Hybrid working </li><li>25 days holiday + bank holidays, plus Christmas Eve off</li><li> Private medical cover , enhanced sick pay, and in-house gym</li><li> Free breakfast , barista coffee, and Thursday social drinks</li><li>Pension scheme with employer contributions</li><li>Enhanced maternity leave</li><li>Travel perks including Cycle to Work and EV scheme </li><li>Be part of a high-growth tech-led logistics company that values innovation and impact</li></ul> Skills and Experience <ul><li>Experience building optimisation or ML models in logistics , transport , or consulting </li><li> Expertise in Mixed Integer Programming , heuristics , approximate algorithms , constraint programming , or ML/DL</li><li>Hands-on with Python and SQL </li><li> Domain knowledge in areas like routing , pricing , forecasting , or procurement planning</li><li>Excellent communication skills</li><li>Comfortable working in agile teams with a fast-delivery mindset</li><li>A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done</li></ul>If you're a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we'd love to hear from you. Click Apply to send your CV and start the conversation<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fHPd6vLas%2fBhsubwPZBf1dWt" width="0" height="0" />

Lead Data Scientist - Routing

Virtusa

<div>We are seeking a skilled Operations Research Scientist / Optimization Specialist to design, develop, and implement advanced optimization models and scheduling algorithms that solve complex operational challenges. You will work closely with cross-functional teams to translate business problems into mathematical models, leveraging your expertise in Mixed Integer Linear Programming (MILP), production network design, and data analytics. Proficiency in Python and hands-on experience with optimization solvers are essential.
 
Key Responsibilities:
 
Design and develop optimization models (e.g., MILP, LP, heuristics) for supply chain, manufacturing, logistics, or resource allocation problems.
 
Implement advanced scheduling algorithms to improve operational efficiency and service levels.
 
Translate real-world business challenges into mathematical models and provide actionable insights.
 
Use Python and optimization libraries (e.g., Gurobi, CPLEX, Pyomo, PuLP) to build, test, and deploy scalable solutions.
 
Analyze large datasets to identify trends and validate model assumptions.
 
Collaborate with data scientists, engineers, and business stakeholders to integrate optimization models into decision-support systems.
 
Continuously evaluate and enhance model performance based on feedback and operational outcomes.
 
Document model design, assumptions, validation processes, and results clearly and effectively. 
<div>
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Python MILP

XES International Education, Inc

Analyze data to understand each project at the lowest level of detail, perform cutting-edge research, and inspire new lines of work; collaborating with the overseas strategic investment team in the evaluation and management of company investment portfolios, analyzing internal financial data, and formulating mathematical models; present, create, and maintain analysis reports, analyze data, and present analysis in project management to enable managements decision-making, and document analysis results; collect and analyze relevant data relating to present business opportunities and the companys operations in areas of market competitiveness, service effectiveness, and cost analysis; help the company to get a clearer picture of a team org chart, talent competitiveness, compensation, and benefit competitiveness; evaluate and estimate the cost, and scope involved with each staffing requirement and utilize engineering management principles to eliminate duplicate tasks. REQUIREMENT: Masters degree in Mathematics, Engineering, or a related field such as Data Engineering, Materials Engineering, or Computer Engineering SCHEDULE: Monday - Friday 9:00 a.m. - 6:00 p.m. 40 hours per week SALARY: $82,618-$84,500 per annum JOBSITE & INTERVIEW: 770 Roosevelt, Irvine, CA 92620<img src="https://www.jobg8.com/Tracking.aspx?xvPwrP8buEzukhqWhNnEc3xX7KTCCPw5r" width="0" height="0" />

Operations Research Analyst

Eurofins

<div>Company Description 
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.
The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.
In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.
In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years. 
Job Description 
<ul><li>
Initiate continuous improvement initiatives for Asset management and laboratory Operations and update impacted procedures</li><li>
Maintain and support best business practices for Asset management such as Share Point Asset management</li><li>
Work with managers, coordinators, and staff of labs to resolve instrumentation documentation issues</li><li>
Work with QA and compliance to initiate, investigate, and resolve quality issues</li><li>
Review QA&rsquo;s monthly overdue work order list and research instrument service history and use to resolve documentation issues</li><li>
Review training documents to see which are coming due for their 3 year update</li><li>
Verify CAR-T data for regulatory submission and make SharePoint updates</li><li>
Verify regulatory submission needed, and make Share Point updates</li><li>
Facilitate change control closure and send out notifications to activity owners and approvers</li><li>
Make status updates to change control SharePoint</li><li>
Work directly with vendors to resolve instrumentation accuracy and inventory documentation issues</li><li>
Support inventory accuracy for laboratories in Malvern and Spring House sites</li><li>
Update Maximo/eCMMS to address inventory inaccuracies, and maintain eCMMs system&rsquo;s accuracy</li><li>
Provide process improvement and instruction to decrease turn-around time for bringing instruments into service</li><li>
Research asset history for resolution of outstanding work orders</li></ul> 

Qualifications 
<ul><li>
BS/MS in a scientific field</li><li>
1-5 years experience in a GMP environment</li><li>
Pharmaceutical industry experience</li><li>
Experience with SharePoint is preferred</li><li>
Ability to travel to Spring House site (10%)</li><li>
Authorization to work in the United States indefinitely without restriction or sponsorship</li></ul> 

Additional Information 
Position is full-time, Monday - Friday 9:00am - 5:00pm. Candidates currently living within a commutable distance of Malvern, PA are encouraged to apply.<ul><li>
Excellent full time benefits including comprehensive medical coverage, dental, and vision options</li><li>
Life and disability insurance</li><li>
401(k) with company match</li></ul> 
Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.</div>

Laboratory Operations Support Scientist

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