62 Cplex Jobs

Job Title: Supply Chain Optimization Specialist Experience: 3+ Years Department: Operations Research / Supply Chain Analytics Position Overview: We are seeking a highly analytical and skilled Supply Chain Optimization Specialist with a strong background in mathematical modeling, optimization, and data analysis. The ideal candidate will play a critical role in improving supply chain operations by developing advanced models and providing data-driven insights. You will collaborate with cross-functional teams to ensure effective implementation of optimized solutions in real-world supply chain systems. Key Responsibilities: Mathematical Modeling & Optimization Develop, refine, and validate mathematical models for inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques including linear programming, integer programming, network flows, simulation, and heuristics to solve complex supply chain challenges. Perform sensitivity analysis, scenario modeling, and risk assessment to evaluate system performance under various conditions. Translate business objectives, constraints, and requirements into mathematical frameworks and optimization problems. Data Analysis & Insights Analyze large-scale supply chain data to extract actionable insights and identify performance trends. Partner with data scientists and analysts to gather, clean, and preprocess data from multiple sources ensuring accuracy and completeness. Provide recommendations to optimize cost, improve efficiency, and enhance customer satisfaction through data-driven decisions. Solution Development & Deployment Present analytical findings, models, and recommendations to stakeholders in a clear, structured format. Provide input on trade-offs between analytical rigor and speed-to-market solutions. Collaborate with internal teams including Data Engineers, Data Scientists, Business Analysts, and Project Managers to test and deploy solutions effectively. Research & Innovation Stay abreast of emerging trends in supply chain management, operations research, and optimization methodologies. Research and propose innovative approaches to address new and evolving supply chain challenges. Qualifications: Master’s degree in Industrial Engineering, Operations Research, Management Science , or a related field. 3+ years of professional experience in supply chain modeling and optimization. Strong command of optimization techniques such as linear/integer programming, network flow modeling, simulation, and heuristic algorithms . Programming proficiency in Python, R , or MATLAB , with hands-on experience using optimization libraries like Gurobi, CPLEX, FICO . Expertise in data manipulation using pandas, NumPy , and similar tools. Solid understanding of SQL for data extraction; experience with visualization platforms like Tableau or Power BI . Strong knowledge of supply chain processes, including demand forecasting, inventory management, production planning, transportation logistics , and distribution networks . Preferred Skills: Excellent problem-solving and critical thinking abilities. Strong communication skills to explain technical solutions to non-technical stakeholders. Experience working in cross-functional and collaborative environments.

Greetings from Maneva! Job Description Job Title-O9 Functional / Technical Consultant Experience-6 14 Years Location-Bangalore Notice-Immediate to 15 days Responsibilities:- O9 Functional Consultant Gather and translate business requirements into functional specifications for the o9 platform. Design and configure o9 solutions (worksheets, alerts, metrics, workflows) for supply chain, demand, MEIO and S&OP processes. Lead end-to-end o9 implementation projects, including configuration, integration, and testing. Support integration with ERP systems (Oracle) and ensure seamless data flow. Conduct testing (SIT, UAT), troubleshoot issues, and document solutions. Collaborate with stakeholders to drive adoption and provide training. Act as an o9 subject matter expert, advising on best practices. Technical Skills: Proficiency in o9 platform modules, configuration, and integration capabilities. Familiarity with programming languages (e.g., Java, Python, JavaScript) and SQL for data analysis and model development. Knowledge of supply chain models, optimization solvers (e.g., Gurobi, CPLEX), and advanced planning tools. 09 Technical Consultant Develop and customize o9 platform solutions, including scripts, integrations, and custom workflows. Implement technical configurations for supply, demand, MEIO and S&OP processes. Design and support integrations with ERP systems (Oracle), Meta internal tools and external platforms. Write and optimize code (Java, Python, SQL) for data models, automation, and reporting. Conduct system testing, debugging, and performance tuning for o9 deployments. Collaborate with functional teams and clients to translate requirements into technical solutions. Document technical designs and provide user training... Technical Skills: Proficient in o9 platform APIs, configuration, and scripting. Strong knowledge of Java, Python, SQL, and optimization solvers (e.g., Gurobi). If you are excited to grab this opportunity, please apply directly or share your CV at [HIDDEN TEXT] and [HIDDEN TEXT]

P3. Operations Research Engineer 8+ years of professional experience in operations research, Bachelor s or master s degree in operations research, Applied Mathematics, Computer Science, Engineering, or a related field. Experience with heuristic methods and algorithm development 8+ Years of relevant experience in Machine learning & Deep learning, with GenAI experience Knowledge of Mathematical and statistical concepts, optimization, data structures Experience in leading teams and managing the end-to-end deliverables. Leadership abilities to guide and mentor junior team members. Design and implement scalable and reliable models for evaluation and deployment Proficiency in Python, & other OR tools like Ciplex etc Strong analytical skills & communication skills. Ability to interpret complex data sets. Develop a strong understanding of business and operational processes within CMA CGM Supply chain. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator. Coordinate the analysis, troubleshooting and resolution of issues in the models and software.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

Location: UK / Europe (Remote or Hybrid) Looking for a highly analytical and technically skilled Optimization Specialist to build and scale mathematical models and process optimization. Candidates must show strong grounding in operations research, simulation, and/or machine learning. Design and implement optimization models (e.g., LP, MIP, MILP) for real-world scheduling, routing, and planning scenarios. Build simulation models to evaluate performance under uncertainty (e.g., disruptions, variable demand). Collaborate with data scientists, software engineers, and business analysts to refine problem definitions and translate them into quantitative models. Use AI/ML algorithms (forecasting, clustering, classification) to drive predictive optimization workflows. Conduct what-if analyses and sensitivity testing to support decision-making. Support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models). Present findings and model performance to stakeholders with clear, concise visualizations and documentation. Strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming. Formulating and solving large-scale combinatorial problems Hands-on experience with Optimization libraries like Pyomo, PuLP, Google OR-Tools Solvers like CPLEX, Gurobi, GLPK, or CBC Programming proficiency in Python, R, or MATLAB Simulation expertise in SimPy, AnyLogic, Arena, or equivalent tools for discrete-event or agent-based simulation Applied machine learning knowledge Forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) Clear communication and documentation skills to present models and insights to non-technical audiences Educational background PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI,Technology->KBE->Optimization->CPLEX,Technology->Analytics - Packages->Gurobi

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

As an o9 Solutions Consultant, you will play a crucial role in transforming enterprise planning processes through the AI-first approach of the o9 platform. Your primary responsibility will be to ensure the seamless integration of planning capabilities for global enterprises, thereby unlocking significant value and enhancing operational efficiency. By resolving customer issues promptly, validating data accuracy, and refining end-to-end workflows, you will contribute to optimizing supply chains and driving better outcomes for businesses and the planet. Your expertise in industry best practices, technical architecture, and o9 solutions will be put to use as you configure the platform based on change requests and deliver solutions to complex operational and supply chain challenges. You will also collaborate with other consultants to address design issues, conduct workflow and data analytics tests, and provide training to end-users globally. Additionally, your role will involve actively participating in the enhancement of internal processes and product features based on customer feedback. To excel in this position, you must possess a minimum of 2 years of experience in implementing planning applications and hold a degree in Btech/BE/MCA/Mtech. Proficiency in languages such as SQL, MDX, T-SQL, as well as statistical, optimization, and simulation skills, will be advantageous. A deep understanding of supply chain planning concepts, strong leadership abilities, effective communication skills, and the capacity to analyze and prioritize data are essential characteristics for success in this role. At o9, we value teamwork, transparency, and continuous communication. You can expect a competitive salary, supportive work environment, opportunities for growth, and a diverse international culture. Join us in our mission to digitally transform planning and decision-making for enterprises worldwide, and be a part of a high-energy, values-driven organization committed to being the most valuable partner to our clients. o9 Solutions is a rapidly growing enterprise SaaS company with a mission to drive digital transformation in enterprise decision-making. With the o9 Digital Brain as our premier AI-powered platform, we are at the forefront of enabling major global enterprises to achieve groundbreaking transformations. As a part of our team, you will have the opportunity to work with industry leaders and contribute to shaping the future of enterprise planning. If you are looking to be part of a dynamic and innovative organization that values diversity, inclusion, and continuous improvement, consider joining o9 Solutions on our journey towards AI-powered management and 10x improvements in enterprise decision-making. Experience the excitement of driving profitable growth, reducing inefficiencies, and creating lasting value with us.,

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,

Develop Advanced Models: Design and implement sophisticated operations research models to optimize various business processes. Algorithm Implementation: Create and refine algorithms for solving large-scale computational challenges efficiently. Cross-Functional Collaboration: Collaborate with teams across departments to identify problem areas and provide comprehensive, data-driven solutions. Simulations and Testing: Develop simulation models to test, analyze, and validate proposed solutions for various scenarios. Documentation and Reporting: Prepare detailed technical reports and presentations for internal and external stakeholders. Continuous Learning and Application: Stay current with the latest developments in operations research and computational strategies to incorporate into company projects. Mentorship and Guidance: Mentor junior team members, fostering growth and encouraging knowledge sharing within the team. Qualifications And Skills Education: Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related discipline. Technical Expertise Advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages such as Python and C (mandatory). Experience with optimization tools like Gurobi, CPLEX, or similar software. Familiarity with machine learning and data analysis frameworks is a plus. Problem-Solving Ability: Strong analytical skills and the ability to develop creative solutions for complex problems. Communication Skills: Excellent communication skills to effectively convey complex technical concepts. Teamwork: Strong team collaboration skills and the ability to contribute to a multi-disciplinary team environment. Performance Expectations Develop and implement efficient, high-quality computational models aligned with company goals. Deliver scalable and maintainable solutions that meet project timelines. Engage effectively with stakeholders, presenting findings and progress clearly. Mentor junior colleagues and contribute to fostering a culture of continuous learning. Benefits And Compensation Work Environment: Flexible work options with primary operations in Bangalore and opportunities in Pune and Gurgaon. Professional Growth: Access to professional development opportunities including workshops and conferences. Health Coverage: Comprehensive health insurance and wellness initiatives. Work-Life Balance: Commitment to maintaining a 40-hour work week with a focus on balanced work-life integration. Skills: data analysis,cplex,python,algorithms,optimization algorithms,c,operations research,machine learning,mathematical modeling,computational methods,gurobi

Job Description Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities And Skills Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities And Skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Description Role: We are currently hiring for the position of Director – LL5, who will serve as the owner and strategic leader of a multidisciplinary team comprising data scientists, data engineers, and software engineers. This role will oversee all stages of analytics services and product development, including: Defining and framing business problems Identifying relevant data sources Designing and developing analytical models Validating model performance and effectiveness Leading product deployment and launch initiatives This is a high-impact leadership opportunity to shape the future of data-driven decision-making at Ford. Scope: Drive AI and Analytics innovation for Finance Modernization Responsibilities Provide strategic leadership and oversight for the Finance and Insurance Analytics teams located in the U.S. and India. Drive Finance modernization initiatives within the Global Data Insight and Analytics (GDIA) organization. Deliver actionable insights through clear, compelling communication with business stakeholders and executive leadership. Foster effective collaboration and negotiation across all levels of the organization to achieve business outcomes. Partner with Product Line Owners to generate demand and align requirements with broader business objectives. Establish priorities, allocate resources, and ensure high-quality and timely delivery of all associated projects. Act as a key liaison for technical collaboration between Finance and Insurance Analytics and other GDIA departments including DPE, AIAC, ISA, and SSDA. Lead strategic optimization of team resources and budgetary planning. Anticipate future business needs and translate them into actionable initiatives and analytics projects. Oversee recruitment, onboarding, and professional development of team members to foster a high-performing, diverse workforce. Actively participate in hiring efforts and promote diversity, equity, and inclusion across the department. Manage purchased service engagements to support Finance and Insurance Analytics activities and delivery. Qualifications Master’s/bachelor’s degree in engineering or quantitative field. Proven hands-on expertise in Artificial Intelligence, with deep domain knowledge of Finance Modernization strategies and initiatives Skilled in leveraging big data technologies including SQL, Spark, and Hive to drive business insights Extensive experience with Google Cloud Platform and associated tools such as Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, and Power BI Demonstrated success in developing and deploying analytical models within cloud-based environments, particularly GCP Well-versed in advanced AI disciplines including Natural Language Processing (NLP), Deep Learning, and modern neural network architecture such as CNNs, RNNs, Embeddings, Transfer Learning, and Transformers Strong capabilities in business engagement, with a track record of translating complex problems into structured, impactful solutions Known for a meticulous attention to detail and a strong drive toward continuous improvement Adept at balancing innovation and analytical rigor, applying logical, methodical problem-solving approaches to dynamic challenges Highly articulate and credible communicator with strong presentation and interpersonal skills, able to influence at all levels of the organization Effective at managing multiple priorities, while maintaining high-quality outputs in fast-paced environments Desired: Extensive experience in Finance Analytics, encompassing data-driven financial insights, forecasting, performance analysis, and strategic decision support.

As an Advanced Modeling Manager in Sales Excellence COE at Accenture, you play a vital role in utilizing your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools to generate business insights. Your primary responsibility is to build models and scorecards that aid business leaders in understanding trends and market drivers, ultimately improving processes and boosting sales. Working within the Center of Excellence (COE) Analytics Modeling Analysis team, you collaborate with various functions like Sales, Marketing, and Finance to collect and process data. Your analytical skills are put to use in developing insights to support decision-making, which you communicate effectively to stakeholders. Moreover, you contribute to developing industrialized solutions in coordination with the COE team. To excel in this role, you are expected to possess a Bachelor's degree or equivalent experience, along with at least five years of experience in data modeling and analysis. Your expertise in machine learning algorithms, SQL, R, or Python, along with proficiency in Advanced Excel and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio, is crucial. Additionally, project management experience, strong business acumen, and attention to detail are valued traits. Furthermore, a Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, and experience in Sales, Marketing, Pricing, Finance, or related fields are considered advantageous. Familiarity with Salesforce Einstein Analytics, optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX, and Power Apps is beneficial for this role. Join us at Accenture, where Sales Excellence thrives on empowering individuals to compete, win, and grow by leveraging data-driven insights and advanced modeling techniques to drive success.,

You will be joining Tata Insights and Quants, a newly established division by Tata Industries, as a Data Science Optimization Analyst Associate - Senior Associate. This role is an individual contributor position with opportunities available in Mumbai, Bangalore, Jamshedpur, and Kalinga Nagar. Your main responsibilities will include applying Optimization/Simulation algorithms using various tools to enhance process efficiency in different business functions. You will be tasked with analyzing intricate business problems and technical environments to design effective solutions. Additionally, you will be required to convert business problems into mathematical models using techniques like Linear/Mixed Integer Programming and apply Optimization/Simulation algorithms such as Simplex, Interior Point, Cutting Plain, Dynamic Program, etc. Furthermore, you will build mathematical optimization models using tools like AIMMS, CPLEX, GLPK, and lead Proof of Concepts to demonstrate outcomes quickly. It will be essential to document use cases, solutions, and recommendations, work in an agile development environment, and collaborate with various teams to implement models and monitor outcomes effectively. To excel in this role, you should have experience in Manufacturing, Aviation, and Logistics, along with a minimum of 3 years of work experience in optimization, simulation, and data science. Proficiency in using AIMMS, CPLEX, GLPK, GUROBI, building Predictive models, and familiarity with Python and R will be advantageous. A Bachelor's or Master's degree in Operations Research, Mathematics, Statistics, Industrial Engineering, or related disciplines with significant experience in mathematical optimization is required. If you are passionate about leveraging data analytics to drive business improvements and are excited to work in a dynamic and fast-paced environment, this role at Tata Insights and Quants could be an excellent fit for you. Feel free to reach out to us at careers@tataiq.com to explore this opportunity further.,

Be part of something revolutionary At o9 Solutions, the mission is clear: to be the Most Valuable Platform (MVP) for enterprises. With the AI-driven platform, the o9 Digital Brain, global enterprises" siloed planning capabilities are integrated, helping them capture millions and, in some cases, billions of dollars in value leakage. This impact extends beyond just businesses, as planning better and faster also leads to waste reduction, driving better outcomes for the planet. We are searching for the brightest and most committed individuals to join us on this mission. Throughout this journey, you will be provided with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. About the job The position of Associate Solution Architect - Client Success at o9 Solutions involves demonstrating thorough knowledge of industry best practices, business processes, o9's solutions, technical architecture, and value proposition. You will be responsible for ensuring solution usability and uptime by resolving customer issues promptly, ensuring data load accuracy, and validating end-to-end workflows. Identifying design issues in the existing setup and collaborating with other o9 consultants to solve business problems is a key aspect of the role. Additionally, you will configure the o9 platform based on change requests/enhancements post go-live and deliver solutions to address deep operations/supply chain challenges. Creating and executing workflow and data analytics test cases, working on bugs/issues, and supporting user training are also part of the responsibilities. What you'll have To excel in this role, you must have 5-7 years of experience in implementing planning applications. A degree in Btech/BE/MCA/Mtech is required. Proficiency in languages such as SQL, MDX, T-SQL, or similar is essential, with skills in statistical, optimization, and simulation tools like R, SAS, CPLEX being desirable. Deep understanding of supply chain planning concepts, including Demand Management, Distribution Planning, Master Planning, and S&OP, is crucial. Characteristics such as the ability to lead by example, proficiency in both product and domain, strong communication skills, and analytical abilities are highly valued at o9 Solutions. What we'll do for you We offer a competitive salary with stock options for eligible candidates and maintain a flat organizational structure with a strong entrepreneurial culture. You can expect to work with great people, have unlimited fun at work, and make a significant impact in a scale-up environment. There are opportunities for onsite travel based on project requirements, a supportive network to facilitate continuous learning, and a diverse international working environment. At o9, we prioritize work-life balance and foster transparency and frequent communication among team members. Join us on this revolutionary journey by applying below, and our recruiter will guide you through the process to potentially become part of the o9 Solutions team. Good luck!,

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. A Data Scientist is responsible for supporting freight analytics/forecasting for process partners by leveraging suitable software. This position is in Bangalore and reports to the Analytics Manager responsible for this area. A person in this role is expected to support 1-2 projects at a time and guide the other team members in work related queries. JOB DUTIES: The job duties of a Data Scientist are to support/lead projects in the domain of freight analytics. To be successful, he/she must utilize technical skills as well as soft skills. The domain and technical skills are defined in 4 key skills: Domain (logistics/freight/supply chain) knowledge, technical (SAS, SQL, MS Office suite) knowledge, data purification (ETL) & analysis and building insights for customer review. It would be added advantage to have working knowledge of visualization tools like Tableau and/or Power BI. This role also will support technology solutions for the analytics team and meeting the needs of the organization. In this role one is expected to identify and drive continuous improvement within the department. In addition to technical skills, a Data Scientist needs to demonstrate intermediate to fully skilled levels of the following values-based competencies (VBCs): integrity & trust; building inclusive relationships; customer focus; problem solving; priority setting; and dealing with uncertainty. Although the requirements above describe most of the responsibilities of the Data Scientist, due to the breadth of issues that arise on projects, it is sometimes expected that he/she takes on other responsibilities outside of this job description. Background/Experience (Required): Bachelor’s degree in engineering, supply chain management, logistics or a related field. Require 3 - 6 years of relevant experience in either of the following fields - supply chain planning, transportation/inventory optimization & simulation. Good knowledge on SAS with one or more successful projects completed by the individual. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages. Excellent communication and presentation skills. Good analytical thinker, experience in data analysis and project management, ability to work well in team settings, with attention to detail. This position requires working onsite five days a week Background/Experience (Desired): Bachelor or Master degree in Operations Research, college degree in supply chain, logistics, or industrial engineering (operation research). Basic level knowledge of any one of the supply chain optimization tools (BY Transportation Modeler, Supply Chain Guru, IBM LogicNet, ILOG CPLEX, Anylogistics) Proficient in Microsoft Office (Excel, Access, PowerPoint, Word) Experience with visualization tools like Tableau or Power BI Skill Descriptors Programming Languages: Knowledge of basic concepts and capabilities of SQL/SAS/Python programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Basic Understanding: Describes the basic concepts of programming and program construction activities. Uses programming documentation including program specifications in order to maintain standards. Describes the capabilities of major programming languages. Identifies locally relevant programming tools. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Basic Understanding: Identifies query facilities that are available in one's own environment. Explains organization's standards, procedures and practices for building queries. Describes the functions and features of query and database access tools. Identifies the key benefits and drawbacks of query languages. Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Basic Understanding: Identifies and describes basic statistical measures. Summarizes the underlying uncertainties associated with statistical analysis and reporting. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Processes limited amounts of detailed information with good accuracy. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding: Names specific tools or techniques that can be used to support the analytical thinking process. Describes specific software applications or products used for business analytics. Gives examples of how analytical thinking has been used to resolve problems. Additional Info: This position will require travelling about 10% of the time. Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of Singapore which can be found through our employment website at www.caterpillar.com/careers. What You Will Get: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date). Final Details: Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status. About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Posting Dates: July 18, 2025 - July 24, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

About Team The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency. We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques—such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling—but also contribute to the research community with multiple peer-reviewed publications. Roles and Responsibilities Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications. Build and implement scalable solutions for supply chain optimization, demand forecasting, pricing, and trend prediction. Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques. Utilize optimization techniques for large-scale nonlinear and integer programming problems. Hands-on experience with optimization solvers like CPLEX, Gurobi, COIN-OR, or similar tools. Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively. Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models. Work closely with the Data Platforms team to collect, process, and analyze data crucial for model development. Stay up to date with the latest advancements in machine learning, forecasting, and optimization techniques, sharing insights with the team. Qualifications & Experience Experience with a Bachelor’s degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field. Strong foundation in data structures, algorithms, and efficient processing of large datasets. Proficiency in Python for data science and machine learning applications. Experience in developing and deploying forecasting and time series models. Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with optimization solvers and algorithms for supply chain and logistics problems. Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges. Good to have research publications in Machine Learning, Forecasting, or Operations Research. Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems. Strong communication skills with the ability to work independently and collaboratively in a team environment. Nice to Have Experience with Generative AI and Large Language Models (LLMs). Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow. Exposure to NLP and Computer Vision applications in an e-commerce setting. Understanding of ethical considerations in AI, including bias, fairness, and privacy. Exceptional candidates are encouraged to apply, even if they don’t meet every listed qualification. We value potential and a strong willingness to learn.

Job Title: Digital Supply Chain Transformation Analyst Experience Required: 2–4 Years Employment Type: Full-Time Job Summary: We are seeking a skilled and motivated professional with a background in Industrial Engineering and Operations Research, who is passionate about driving digital transformation in supply chain planning and optimization. The ideal candidate will have hands-on experience with optimization solvers, programming languages such as Python and C++, and a good grasp of planning systems and supply chain data. Key Responsibilities: Collaborate with technical and functional teams to develop transition interfaces for smooth system integration. Configure and customize Integrated Business Planning (IBP) applications including Demand Planning, Sales & Operations Planning, Supply Planning, Order Promising, and Transport Management Systems (TMS). Design, develop, and test functional specifications for reports, interfaces, and screens ensuring alignment with business and system requirements. Work on system development and support, particularly focused on implementation and post-go-live activities. Demonstrate strong understanding of master and transactional data to support system design. Utilize Python, C++, SQL, and OPAL for development, with exposure to MS SQL databases and Tableau reporting tools considered a plus. Must-Have Qualifications: Degree in Industrial Engineering, Operations Research, or a related field. 2–4 years of systems development experience in supply chain or manufacturing domains. Proficiency with solvers (e.g., Gurobi, CPLEX). Hands-on experience in Python, C++, SQL, and OPAL. Knowledge of MS SQL and Tableau is desirable. Good-to-Have Skills: Experience collaborating with cross-functional teams to create functional/technical design documents. Ability to provide technical and non-technical user training across various project phases (Pre-implementation, Go-live, Post Go-live). Highly cost-conscious and solution-oriented mindset with a focus on efficiency. Ability to manage pressure, work in demanding situations, and deliver high-impact outcomes. Strong integrity in maintaining business process and data accuracy. Excellent communication, problem-solving, interpersonal, and collaboration skills. What We Offer: Exposure to cutting-edge supply chain planning solutions. Opportunity to work in a dynamic and fast-paced environment. Competitive compensation and career growth potential.

You will be working as a Data Scientist/Analyst with a focus on extracting actionable insights from data. Your role will involve utilizing various tools such as Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop, GCP, and ML. To qualify for this position, you should possess a Bachelor's degree in computer or data science, engineering, statistics, operations research, or another quantitative area. You must have experience in using SQL to extract, clean, and transform data from large, complex, nested databases. Proficiency in programming languages such as Python or R in a cloud platform is essential. Additionally, you should have a minimum of 3 years of experience as a researcher, analyst, data scientist, or solution developer with expertise in one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP. Preferred qualifications include at least 3 years of experience as a researcher, analyst, data scientist, or solution developer, with a strong background in Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, and Hadoop. Experience in data mining, statistical analysis, modeling, optimization, GCP Big Query, Vertex AI, and machine learning using Python is highly desirable for this role. Strong written and verbal communication skills, along with a high level of intellectual curiosity, are essential to excel in this position.,

As a Sales Excellence COE Advanced Modeling Manager at Accenture, you will be part of a team that empowers individuals to compete, win, and grow by providing the necessary tools to build client portfolios, optimize deals, and enhance sales talent through sales intelligence. Your role will involve utilizing machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, familiarity with Google Cloud Platform (GCP), BigQuery, Salesforce Einstein Analytics, and optimization techniques such as Pyomo, SciPy, PuLP, Gurobi, and CPLEX is beneficial. In this position, you will work within the Center of Excellence Analytics Modeling Analysis team to generate insights that support Accenture in enhancing processes, increasing sales, and maximizing profitability. Your responsibilities will include collecting and processing data from various functions, analyzing data to develop business insights, communicating these insights effectively, and collaborating with the team to create practical solutions. The ideal candidate should possess a Bachelor's degree or equivalent experience, excellent English communication skills, and a minimum of five years of experience in data modeling and analysis. Proficiency in project management, business acumen, and attention to detail are essential for success in this role. A Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform, experience in Sales, Marketing, Pricing, Finance, or related domains, familiarity with Salesforce Einstein Analytics, and expertise in optimization techniques and packages are additional qualifications that would be advantageous. Join us at Accenture and be part of a dynamic team that is dedicated to enabling sales excellence and driving growth.,

As an Associate Solution Architect - Client Success at o9 Solutions, you will play a crucial role in demonstrating a thorough understanding of industry best practices, business processes, o9's solutions, technical architecture, and value proposition. Your responsibilities will include ensuring solution usability and uptime by promptly resolving any customer issues, verifying data loads accuracy, and validating end-to-end workflows. You will need to identify design issues in the existing setup and collaborate with other o9 consultants to address business problems effectively. Additionally, you will be the primary contact for any platform-level upgrades, patches, or hot fixes. Your role will involve configuring the o9 platform based on change requests/enhancements post go-live to address complex operational and supply chain challenges. You will be responsible for creating and executing workflow and data analytics test cases, working on bugs/issues, and monitoring the progress of issue resolution using support tools. Furthermore, you will be involved in supporting Super User and End User training for a global user base, contributing to enhancing internal processes and product features based on customer feedback by liaising with development and operations teams. To excel in this role, you must have 5-7 years of experience in implementing planning applications, along with a degree in Btech/BE/MCA/Mtech. Proficiency in languages such as SQL, MDX, T-SQL, or similar is required, and skills in statistical, optimization, and simulation tools like R, SAS, CPLEX, or similar are desirable. A deep understanding of supply chain planning concepts, including Demand Management, Distribution Planning, Master Planning, and S&OP, is essential. You should possess strong leadership skills, effective communication abilities, and the capacity to analyze and interpret large volumes of data to prioritize high-value opportunities or significant risks. At o9 Solutions, we value team spirit, emphasizing transparency and frequent communication regardless of hierarchy, distance, or function. We offer a competitive salary with stock options for eligible candidates, a flat organizational structure fostering an entrepreneurial culture, a collaborative and enjoyable work environment, and the opportunity to contribute significantly in a scale-up setting. Additionally, you may have the chance to travel onsite based on project requirements, work with a supportive team for continuous learning, and enjoy the benefits of an international working environment that promotes work-life balance. If you are looking to be part of a fast-growing technology company that aims to digitally transform planning and decision-making for enterprises and the planet, o9 Solutions could be the ideal place for you. Join us in our mission to drive digital transformations for major global enterprises with the o9 Digital Brain platform. With headquarters in Dallas and offices across various international locations, we are committed to achieving ambitious goals and making a positive impact through innovative solutions and a vibrant company culture. Apply now to be part of our dynamic team and embark on a rewarding career journey with o9 Solutions.,

Role - Quantum Developer Required Technical Skill Set - Quantum Computing, Optimization, AI/ML Desired Experience Range - 10+ Years Location of Requirement - PAN India Desired Competencies (Technical/Behavioural Competency) Must-Have Strong understanding of quantum mechanics and quantum computing principles Proficiency in python & numerical libraries Experience with quantum frameworks/SDK’s (like Qiskit, Pennylane etc.) Immense experience with classical algorithms & optimization techniques Hands-on experience in modelling & solving optimization problems using various solvers Experience with implementing algorithms on NISQ era devices & quantum annealers Strong foundation in linear algebra (advanced), applied mathematics Good-to-Have Familiarity with different cloud-based quantum services like AWS Brake Knowledge in adjacent areas like machine learning, HPC & cryptography Tensorflow & pytorch (for quantum machine learning apps) Responsibility of / Expectations from the Role Design & implement quantum algorithms for specific use cases (on different problem types – crypto, optimization, AI/ML, simulation) across different manufacturing domains Develop hybrid quantum-classical solutions using various quantum frameworks/SDK’s like Qiskit, Pennylane, Bracket Deploy & test the solutions on different quantum simulators and hardware from different providers like D-wave, IBM, IonQ etc Design mathematical model for optimization problems (MILP, LP, NLP etc.) Work with the cross functional team to understand the problem requirements and model constraints, objectives & variables Implement the model(s) using solvers like Cplex, Gurobi etc Benchmark the results from quantum solutions against classical methods Explore any new tools/frameworks/products launched in quantum computing space

India Foods Business is a full-service manufacturing and marketing unit comprising over 500 employees spread across over multiple locations across India. Our strong suite of products includes the Pillsbury, Betty Crocker, Haagen-Dazs and Nature Valley brands in both direct-to-consumer and B2B channels across Retail, Food Service and Bakeries & Exports. We combine the capabilities of a global enterprise with the entrepreneurial spirit and cultural awareness you would expect of a smaller local company. Position Title Sr. Analyst – SC Adv Analytics, OU Function/Group Logistics Location Mumbai Shift Timing 1:30 PM to 10:30 PM Role Reports to Assistant Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link Purpose of the role Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e., plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value. This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise. The role involves building, maintaining, and executing optimization and simulation models to help identify, analyze, and implement opportunities in the areas of manufacturing network design and optimization, supply network planning and realignment by incorporating supply chain costs, manufacturing complexity, inventory optimization and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing & distribution network and provides least cost sourcing and distribution options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities 15% - Requirement Gathering & Data Collection: Understand Project charter- Business context, Scope, Outcome & success criteria. Collaborate with the Global & India Supply Chain partners to gather the required information and conduct the data validations & analysis. Proactively analyze the current set of the data based on facts and root cause analysis. Perform data massaging – Outlier detection and handle missing data etc. and share key findings with the team lead. 40% Model building & Scenario Evaluation Solve business problems in the areas of Supply Chain by developing different modeling approaches/techniques using Descriptive/Prescriptive/Predictive analytics and recommend the best approach. Develop a detailed solution design/architecture or re-engineer an existing solution design. Build/Refresh the models periodically and provide recommendations to business teams. Run & analyze what-if scenarios by leveraging advanced tools and provide insights to the business team. 20% Model result analysis & presentation Detailed and quantitative analysis of the model output and clearly articulate findings and recommendations Synthesize large data sets/model results into usable insights and business recommendations Build presentation and communicate the results effectively with the broad audience of clients/stakeholders/cross-functional teams. Provides analytics support during the implementation and transition phase. 15% Other Responsibilities: Improving Participate in brainstorming sessions on new capabilities development/ideation sessions Work on enhancements in current capabilities/process improvements Support new technologies by participating in testing sessions & training sessions Sustaining Develop and design governance framework Ensure strong and clear process/training/project documentation and controls are in force Creating assumption documents for client meetings/methodology documents Participating in weekly directional meetings, team meetings & townhalls 10% Self-Development: Upskilling through internal & external training/courses, in behavioral, functional, analytical & technology areas Participating in innovation challenges, Hackathon competitions, Knowledge sharing sessions Participating in training sessions at the team/departmental level Participating in internal case studies to acquire business acumen Specific Job Experience Or Skills Needed End to End Supply Chain Knowledge Critical thinking with strong analytical and problem-solving skills Ability to formulate mathematical model & techniques Either of Technical know- how of optimization – Linear/Integer/MILP programming Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis Technical know- how of prediction – Machine learning, various types of regression, classification and clustering techniques, time series, tree- based prediction models Technical know-how of Simulation – Discrete event simulation/Monte Carlo Understand business problems and convert into analytical problem statements Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python, VBA/Macros, SQL, Solvers like CPLEX/Gurobi, etc., Simulation tools like @risk, MATLAB, etc., Machine Learning techniques/models Effective & Strong Communication Skills Storytelling with effective presentation Stakeholder Management Innovative Mindset & Learning Mindset Nice to have experience in front end application development - Rest APIs, Dash, R shiny. Competencies/Behaviors Required For Job Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result. Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions. Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution. Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others. Minimum Qualifications Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters (M. Tech/MBA/MSC) Preferred Major Area of Study: Supply Chain / Operations Research / Industrial Engineering / Statistics / Mathematics / Mechanical Engineering / Computer Engineering / Electronics Engineering / Instrumentation Engineering/ Production Engineering Required Professional Certifications Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University Preferred Qualifications Master’s degree 3 years of related experience Major Area of Study in Industrial Engineering or Supply Chain Professional Certifications: CSCMP, APICS Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

Job Description Strategy and Enterprise Analytics Team provides insights and decision support tools to a broad range of business partners in sustainability and Eelectric vehicles. We drive to deliver the most value to Ford through critical thinking, AI/ML, big data analytics and optimization techniques on Google Cloud Platform (GCP). The team leverages advanced analytics and domain knowledge to develop analytics models, transformational decision-support tools, and services to: Increase profit while meeting North American regulatory compliance Support strategic initiatives for electrification, especially in public charging, home power management, and energy services Design and build solutions that support holistic decision making at enterprise level (OGC) We are looking for a manager / product owner to lead a multi-skill team of data scientists, data engineers and software engineers in all phases of ongoing and future analytics services and product development, including problem formulation, data identification, model development, validation, and product launch. The candidate should have great independence, exceptional collaboration and leadership skills, and self-discipline to guide original applied research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with supervisory experience, passion for hands-on work, strong technical skills and growth mindset who demonstrate a passion for developing talents and applying state-of-the-art solutions to novel and challenging problems. Our team utilizes a diverse set of tools and methodologies from different technical fields including Machine Learning, Statistical Analysis, Simulation, Big Data platforms and more. We understand that you cannot be an expert in everything, and the set of techniques and technologies we are using today may change over time. Given the required qualifications, we are looking for candidates who are lifelong learners, driven, and curious. Responsibilities Lead a group of data scientists, data engineers, and software engineers, to solve exciting and meaningful problems Translate business needs into analytical problems, work hands-on along with the team, judge among candidate ML models, contribute towards best practices in model development, conduct code reviews, research state-of-the art techniques and apply them for the team and business needs. Develop and apply analytical solutions to address real-world automotive and Quality challenges Initiate and manage cross-functional projects, building relationships with business partners, and influencing decision makers Ability to work well under limited supervision and use good judgment to know when to update and seek guidance from leadership Communicate and present insights to business customers and executives Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results Explore emerging technologies and analytic solutions for use in quantitative model development Develop and sustain a highly performing team Ability to collaborate, negotiate, and work effectively with coworkers at all levels Works with Product Line Owner on creating demand and aligning the requirements to the Business demands Qualifications Master’s degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or other data-related fields 5+ years of domain experience in delivering analytics solutions in any of these areas (Sustainability / Regulatory, Electrification, Legal, Cycle Planning) 10+ years of experience in analytics domain with 3+ years of supervisory experience Familiarity with SQL, Spark, Hive, and other big data technologies Familiarity with Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI Demonstrated performance in working on developing analytical models and deploying them in GCP Strong drive for results, sense of urgency, and attention to detail Strong verbal and written communication skills with the ability to present to cross functional levels of management Ability to work in a fast-paced environment with global resources under short response times and changing business needs Familiarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, and Transformers. BEV experience a plus Deep understanding of Agile & PDO processes Software delivery experience a plus