operations research scientist

GreyOrange

<div>
 
 As an Operations Research Scientist at GreyOrange, you will play a pivotal role in designing, developing, and implementing advanced models and algorithms that enhance decision-making across various business functions.
 
 
 You will collaborate with cross-functional teams, including product development, engineering, to optimize processes, improve product performance, and solve complex problems using mathematical and computational methods.
 
 
 The ideal candidate has a deep understanding of optimization, statistical modeling, and machine learning, with a passion for solving real-world problems in a high-tech environment.
 
 
 
 Roles and responsibilities:
 
 
 <ul>
 <li>
 Develop and apply advanced operations research models, including optimization, simulation, and stochastic models, to solve complex business challenges.
 </li>
 <li>
 Work closely with engineering, data science, and product teams to integrate OR models into SaaS platforms, providing actionable insights to enhance product performance.
 </li>
 <li>
 Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, and nonlinear optimization) to drive business efficiency and effectiveness.
 </li>
 <li>
 Analyze large datasets and develop predictive models using statistical and machine learning techniques to improve decision-making processes.
 </li>
 <li>
 Develop mathematical models, simulations, or optimization algorithms to represent real-world systems or problems.
 </li>
 <li>
 Use techniques like linear programming, dynamic programming, queuing theory, or game theory to create models.
 </li>
 <li>
 Build simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions.
 </li>
 <li>
 Collaborate with cross-functional teams such as engineering, product, and operations to implement solutions.
 </li>
 <li>
 Communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations.
 </li>
 <li>
 Communicate complex mathematical concepts and results to non-technical stakeholders in a clear and understandable manner.
 </li>
 <li>
 Monitor the performance of implemented solutions and refine models over time based on feedback and new data.
 </li>
 <li>
 Stay updated with the latest advancements in operations research, machine learning, and optimization, and apply best practices to develop innovative solutions.
 </li>
 <li>
 Document models, algorithms, and analytical processes for future reference and team knowledge sharing.
 </li>
 <li>
 Generate reports that summarize the outcomes of analyses and model performance.
 </li>
 </ul>
 
 
 Requirements/Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
 </li>
 <li>
 Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB).
 </li>
 <li>
 Familiarity with data analysis, machine learning techniques, and simulation.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate complex problems into actionable insights.
 </li>
 <li>
 Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders.
 </li>
 <li>
 Experience managing or contributing to research projects in a fast-paced environment.
 </li>
 </ul>
 
 
 About GreyOrange:
 
 
 <ul>
 <li>
 GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide.
 </li>
 <li>
 Our solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees.
 </li>
 <li>
 Founded in 2012, GreyOrange is headquartered in Atlanta, Georgia, with offices and partners across the Americas, Europe and Asia.
 </li>
 </ul>
 
 
 Our Solutions:
 
 
 <ul>
 <li>
 The GreyMatter Multiagent Orchestration (MAO) platform provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action.
 </li>
 <li>
 Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance.
 </li>
 <li>
 In retail stores, our gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more.
 </li>
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 Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience.
 </li>
 </ul>
 
 
 EEO:
 
 
 <ul>
 <li>
 GreyOrange provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 </li>
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 This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 </li>
 </ul>
</div>

Operations Research Scientist

A.P. Moller - Maersk

<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.
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 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>
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 Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
 </li>
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 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>
 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)

Beckman Coulter Life Sciences

<div>Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Beckman Coulter Life Sciences, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.
You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.
At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results.
We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory.
It&rsquo;s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we&rsquo;re just beginning. Working together, let&rsquo;s put our time and talents together to advance human health for tomorrow.
Learn about the Danaher Business System which makes everything possible.
The Scientist I- Global NPI Ops is responsible for Leading and executing design transfer activities(New product introduction) that align with the business goals and objectives; interfacing and collaborating with cross functional teams and diverse groups (internal and external customers) to execute the project deliverables, independently handle the process or technology transfer and validations, utilize critical thinking and technical subject matter expertise to solve complex problems and trouble shoot, able to independently manage the priorities with minimal guidance, utilize risk assessments to mitigate the risks and implement countermeasures, effectively communicate with teams, customers, stakeholders, and leadership on project status, progress, risks and countermeasures, utilizing data driven approach to negotiate and alignment with multiple stakeholders in problem solving, go-to Gemba mindset.
This position reports to the Team Lead NPI OPs and is part of the Global NPI department located in Beckman Coulter Life Science, Bangalore Development Center (BDC) manufacturing facility located in Bengaluru and will be an on-site role.
In this role, you will have the opportunity to:<ul><li>
Accountable New process or technology transfer, validations (Process, Test method, Equipment), utilize risk assessments tools (FMEA) to assess the risks and implement countermeasures.</li><li>
Leading and executing the continuous improvement projects of varied Operations processes at Beckman Coulter Life science, Bangalore Manufacturing site.
</li><li>Accountable to create or update operating procedures, Tech transfer documents train the end users (internal and external), implement process, BOM preparations, Supplier qualifications, CAPA, drive document and change control management.
</li><li>Support the needs of internal customers with training, investigation and troubleshooting within the project scope.
</li><li>Effectively communicate with teams, customers, stakeholders, and leadership on project status, progress, risks and countermeasures.</li></ul>
The essential requirements of the job include:<ul><li>
M.Sc. in Chemistry/Organic Chemistry or related discipline, with minimum of 6+ year&rsquo;s industrial experience/PhD+ 1 to 2 years of industrial experience.</li><li>
Demonstrated ability to be flexible and resourceful, Working in GMP environment, understanding QMS and ISO regulations. Ability to work in a team environment &amp; Excellent communication skill. Utilize data driven approach to negotiate and align with multiple stakeholders to solve problems (simple &amp; complex), Go-to Gemba mindset.
</li><li>Experienced in handing Organic synthesis reactions, metal catalyst reactions, Dye synthesis and process development.</li><li>
Experience in performing and optimization of C-N and C-C coupling reactions. Having Synthetic organic chemistry and Conjugation chemistry knowledge with good Hands-on experience on HPLC, UPLC, GPC, TFF, Spectrophotometer, Fluorimeter and Automated purification system. Previous experience with polymer chemistry and protein conjugation will have an added advantage.</li></ul>
It would be a plus if you also possess previous experience in:<ul><li>
Expertise on organic synthesis of fluorescent dyes suitable for Flow Cytometry applications.</li><li>
Experience of utilizing 5 why or why-why analysis, Ishikawa investigation tools.</li></ul>
Beckman Coulter Life Sciences, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.</div>

Scientist I- Global NPI Ops

White Mastery Systems

<ul><li>Data &amp; Tech: Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li>Research &amp; Development: Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li>Healthcare: Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li>Education &amp; Academia: University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li>Engineering: Electrical Engineer, Automation Tester, roles in Water Quality.</li><li>Government &amp; Other Sectors: Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul>Job Types: Full-time, Permanent, FresherPay: ₹18,086.00 - ₹52,273.64 per monthBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

M.Sc freshers

Institute of Obstetrics and Gynaecology, MMC.

The Project Research Scientist II (Medical) will be responsible for:&middot; Providing support to research nurses in recruitment of study subjects anddata collection.&middot; Ensuring data accuracy and completion (both manual and digital)&middot; Entering data into database, manage and maintain effective record keeping data&middot; Providing support to project office operations performing a variety ofstandard administrative duties including typing of official documentsensuring high quality and accuracy of work&middot; Keeping track of project with update reports&middot; Any additional work related to current project and other related projects asinstructed by the PIEssential qualifications and experienceMBBS / BVSc / BDS with three years&rsquo; post qualification experienceOrMBBS / BVSc / BDS + Post Graduate Degree (MD/MVSc./MDS/MPH) or anyequivalent degree, including integrated PG degreesOrMBBS/BVSc/ BDS with PhDDesirable qualifications and experience1. Postgraduate degree or diploma in clinical trial management2. Experience as a project scientist in at least one research project involvingfunding agencies like ICMR, DBT, DST, SERB, Welcome Trust, GatesFoundation, etcSkills<ul><li>Proficient knowledge of data, data dictionary, database, research data</li><li>workflow, etc.</li><li>Basics of biomedical research including informed consent process</li><li>Well versed in recording the data</li><li>Excellent reading comprehension and strong written as well as verbal</li><li>communication skills, including good command of English is required</li><li>Good understanding of needs for project and job responsibilities</li><li>Proficiency in using computers (Windows and mac OS), internet,</li><li>troubleshooting, using cloud storage of various types. Good organizational</li><li>behavior and problem-solving skills</li><li>Ability to establish and maintain effective working relationships with co-</li><li>workers and investigators.</li></ul><ul><li>Schedule of selection (subject to change)</li><li>Last date of receiving applications: 27 Dec 2025 at 5 PM.</li><li>Screening test/Interview (Interaction with shortlisted candidates) on 29 Dec 2025.</li></ul>Job Type: Contractual / Temporary Contract length: 36 monthsPay: ₹960,000.00 - ₹1,248,000.00 per yearWork Location: In person

Research Scientist II (Medical)

Uber

<div>About the Role
 
 
We are seeking a highly skilled and motivated Staff Data Scientist to join our Applied AI Team. In this role, you will work together with the team building our Merchant agent tool. This tool aims to scale easy-to-use, personalized support to our merchants to help them better succeed on our marketplace.
- What the Candidate Will Do - 
 
 
<ul><li>Design, develop and interpret agentic models via analyses and experiments to evaluate their effectiveness.
</li><li>Feed these insights back to shape the technical execution and strategic direction.
</li><li>Develop data-driven insights to identify opportunities to improve the product or build new products.
</li>Present findings to various constituents: technical, business and executive audiences. 
<li>
</li></ul>- Basic Qualifications - 
 
 
<ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 5 years of industry experience as a Data Scientist or equivalent.
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li><li>Proficiency in SQL.
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.</li></ul></div>

Staff Scientist, UberEats Merchant AI

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

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