156 Operations Research jobs in India

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About You

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Skills and Qualifications

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An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

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Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

About the Team

Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target.

About the Role

As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research.

In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills.

Key responsibilities include:

• Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members.
• Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions.
• Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges.
• Designing and implementing new applied mathematical models to address complex business problems.
• Interpreting model results to generate actionable insights for leadership.
• Communicating clearly and proactively with business leaders, peers, and stakeholders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You

• 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field.
• 2+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools.
• 4+ years of experience applying advanced data science, AI, and operations research techniques.
• Strong problem-solving skills with the ability to address business challenges creatively.
• Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
• Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
• Retail and supply chain experience is a plus.
• Team-oriented with the ability to collaborate effectively across locations and time zones.
• Strong written and verbal communication skills.

Why Work with Us at Target?

• Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies.
• We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects.
• We value diversity and inclusion, fostering an environment that contributes to positive customer experiences.
• We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting.

Useful Links to Learn More About Target and Our Benefits

• Life at Target:
• Benefits:

Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

About the Team

Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target.

About the Role

As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research.

In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills.

Key responsibilities include:

• Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members.
• Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions.
• Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges.
• Designing and implementing new applied mathematical models to address complex business problems.
• Interpreting model results to generate actionable insights for leadership.
• Communicating clearly and proactively with business leaders, peers, and stakeholders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You

• 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field.
• 2+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools.
• 4+ years of experience applying advanced data science, AI, and operations research techniques.
• Strong problem-solving skills with the ability to address business challenges creatively.
• Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
• Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
• Retail and supply chain experience is a plus.
• Team-oriented with the ability to collaborate effectively across locations and time zones.
• Strong written and verbal communication skills.

Why Work with Us at Target?

• Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies.
• We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects.
• We value diversity and inclusion, fostering an environment that contributes to positive customer experiences.
• We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting.

Useful Links to Learn More About Target and Our Benefits

• Life at Target:
• Benefits:

Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

About the Team

Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target.

About the Role

As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research.

In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills.

Key responsibilities include:

• Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members.
• Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions.
• Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges.
• Designing and implementing new applied mathematical models to address complex business problems.
• Interpreting model results to generate actionable insights for leadership.
• Communicating clearly and proactively with business leaders, peers, and stakeholders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You

• 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field.
• 2+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools.
• 4+ years of experience applying advanced data science, AI, and operations research techniques.
• Strong problem-solving skills with the ability to address business challenges creatively.
• Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
• Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
• Retail and supply chain experience is a plus.
• Team-oriented with the ability to collaborate effectively across locations and time zones.
• Strong written and verbal communication skills.

Why Work with Us at Target?

• Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies.
• We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects.
• We value diversity and inclusion, fostering an environment that contributes to positive customer experiences.
• We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting.

Useful Links to Learn More About Target and Our Benefits

• Life at Target:
• Benefits:

A role in Global Supply Chain and Logistics means creating industry leading intelligence solutions to drive best in class omnichannel guest experiences at the lowest cost to Target. You might focus on enabling the future transportation operating model, optimizing inventory management, driving topology planning or leveraging deep business insights and analytics to propel Targets Supply Chain. Super-powered first and foremost, by our people, and supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast paced Supply Chain Network. Our modern operating systems are built by Target and lead in the arena of automated large-scale supply chain planning and optimization systems running large-scale solves for complex optimization problems.The Supply Chain Network Optimization team is part of Global Supply Chain and Logistics team and responsible for providing insights, leading strategy, and optimization-based initiatives to drive the efficiency of Targets overall supply chain network. The team member will need to use data engineering skills, statistical knowledge, simulation and modelling techniques while collaborating with data science, product, technology and business partners to transform Targets supply chain network. This role will support cross pyramid business teams and coordinate solutions across enterprise functions impacting productivity savings goals, system configuration accuracy (i.e. transit time, lead time, etc.), product roadmaps and process optimizationReporting/Working Relationships:Role is based out of Target in India HQ in Bangalore. Role will report to the Director of Operations Research based out of Target in India HQ in Bangalore. Role will work closely with Target Tech and data science team across globe and partners closely with Digital, Global Supply Chain & Logistics teams, Store Operations in USA

Principle Duties & ResponsibilitiesAnalyse large volumes of granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory.Conduct root cause analysis to identify key drivers of operational performance and variances from projected outcomes.Collaborate with business to evaluate opportunities, quantify potential improvements, and define key focus areas for enhancing guest experience and cost efficiency in Targets supply chain management (SCM).Apply mathematical modelling, simulation techniques, and statistical analysisto identify and solve complex supply chain challenges.Work closely with cross-functional teamsincluding building operations, transportation, and technologyto develop data-driven recommendations and implement solutions.Partner with product, analytical, and global supply chain teams to drive business objectives such as reducing shipping expenses, improving network speed, and optimizing inventory availability for various service levels.Participate in pilot programs to validate business opportunities, ensuring a smooth transition into standard processes where applicable.Collaborate with data science and engineering teams to support the deployment of algorithmic solutions for supply chain planning and control.

RequirementsEducation: B.Tech/M.Tech/MS in a quantitative discipline such as Engineering, Statistics, Operations Research, or Mathematics.

Experience: 8-10 years of relevant experience in retail/supply chain management.Analytical Skills: Strong experience in solving business problems using data-driven analytical techniques. Passion for empirical research and solving complex problems with data.

Technical Proficiency: Expertise in SQL, PySpark, and statistical tools such as R or Python for data analysis and building prototypes.oUnderstanding of algorithm analysis, computational complexity, and optimization techniques.Supply Chain Knowledge: Experienced in supply chain concepts such as replenishment, purchasing, planning, optimization, and logisticsResearch & Modelling: Proficiency in simulations, A/B testing, stochastic models, forecasting, and mathematical modelling.

Software & System Knowledge: Technical aptitude and familiarity with complex supply chain and logistics software systems.Communication & Collaboration: Ability to explain complex technical concepts in a clear, concise manner to diverse audiences.

• Laminaar Aviation Infotech is looking for Operations Research (OR) Analyst to join our dynamic team and embark on a rewarding career journey
• Problem Formulation: Work closely with management and stakeholders to define and understand complex business problems or decision-making challenges
• Translate real-world problems into mathematical models that can be analyzed and solved
• Data Analysis and Modeling: Collect and analyze relevant data using statistical and mathematical techniques
• Develop mathematical models, simulations, or optimization algorithms to represent and solve the identified problems
• Optimization and Decision Support: Apply optimization techniques to find the best possible solutions to business problems, considering constraints and objectives
• Provide decision support by presenting insights, recommendations, and potential scenarios to decision-makers
• Simulation and Forecasting: Use simulation models to analyze and forecast outcomes under different conditions or scenarios
• Evaluate the impact of changes or decisions on operational efficiency, resource allocation, and overall performance
• Implementation of Solutions: Collaborate with various departments to implement solutions and recommendations derived from analysis
• Monitor and assess the effectiveness of implemented changes
• Continuous Improvement: Identify opportunities for process improvement and optimization within the organization
• Stay informed about advancements in operations research methodologies and tools
• Skills and Qualifications: Strong analytical and quantitative skills, including proficiency in mathematical modeling and statistical analysis
• Knowledge of operations research methodologies, optimization techniques, and simulation
• Proficiency in programming languages (e g, Python, R, MATLAB) and optimization software
• Excellent problem-solving and critical-thinking abilities
• Effective communication skills to convey complex analytical findings to non-technical stakeholders
• Project management skills to handle multiple tasks and meet deadlines

Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

About the Team

Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target.

About the Role

As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research.

In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills.

Key responsibilities include:

• Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members.
• Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions.
• Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges.
• Designing and implementing new applied mathematical models to address complex business problems.
• Interpreting model results to generate actionable insights for leadership.
• Communicating clearly and proactively with business leaders, peers, and stakeholders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You

• 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field.
• 2+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools.
• 4+ years of experience applying advanced data science, AI, and operations research techniques.
• Strong problem-solving skills with the ability to address business challenges creatively.
• Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
• Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
• Retail and supply chain experience is a plus.
• Team-oriented with the ability to collaborate effectively across locations and time zones.
• Strong written and verbal communication skills.

Why Work with Us at Target?

• Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies.
• We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects.
• We value diversity and inclusion, fostering an environment that contributes to positive customer experiences.
• We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting.

Useful Links to Learn More About Target and Our Benefits

• Life at Target:
• Benefits: