42 Linear Programming Jobs

Role Overview: You will be working as a Corporate Banking Strats at Deutsche CIB Centre Pvt Ltd in Mumbai, India. Your role will involve collaborating with the London/New York team on various quantitative and regulatory-driven projects. You will be responsible for understanding business problems, gathering necessary information, and providing optimized end-to-end solutions on a scalable platform using Python and C++ programming languages. Effective communication with stakeholders globally will be crucial for this role. Key Responsibilities: - Centralize and automate Risk in Banking Book for Corporate Banking business - Translate business problems into manageable smaller problem statements - Coordinate and gather information from stakeholders for deeper business understanding - Design optimized and scalable automated solutions - Develop tables and databases for data storage - Implement applications/libraries for the solution Qualification Required: - Strong educational background in Engineering/Science from reputable colleges in India - Proficiency in Python programming with at least 3 years of experience - Experience in relational database design (Oracle, MySQL) for at least 2 years - Knowledge of C++ programming concepts like Class, Pointers, Data structure stacks, queue - Familiarity with applied econometrics and quantitative skills such as linear/non-linear regression, hypothesis testing, PCA - Experience or knowledge in linear/Integer linear programming, dynamic programming, greedy algorithms, and working with big data - Strong communication, presentation, problem-solving, and analytical skills Additional Company Details: Deutsche CIB Centre Pvt Ltd is Deutsche Bank's global platform that aims to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. The company offers various benefits such as a comprehensive leave policy, parental leave, child care assistance, flexible working arrangements, sponsorship for certifications, employee assistance program, hospitalization and life insurance, health screening, and more. The company fosters a culture of continuous learning, support, and empowerment for its employees. Visit the company's website for more information: [Deutsche Bank Company Website](https://www.db.com/company/company.htm),

Role Overview: As a Data Scientist at mPokket, you will be responsible for collaborating with the data science team to plan projects and build analytics models. Your strong problem-solving skills and proficiency in statistical analysis will be key in aligning our data products with our business goals. Your primary objective will be to enhance our products and business decisions through effective utilization of data. Key Responsibilities: - Oversee the data scientists" team and data specialists, providing guidance and support. - Educate, lead, and advise colleagues on innovative techniques and solutions. - Work closely with data and software engineers to implement scalable sciences and technologies company-wide. - Conceptualize, plan, and prioritize data projects in alignment with organizational objectives. - Develop and deploy analytic systems, predictive models, and explore new techniques. - Ensure that all data projects are in sync with the company's goals. Qualifications Required: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field. - Minimum of 2 years of experience in solving analytical problems using quantitative approaches. - Proficiency in communicating quantitative analysis results effectively. - Knowledge of relational databases, SQL, and experience in at least one scripting language (PHP, Python, Perl, etc.). - Familiarity with statistical concepts such as hypothesis testing, regressions, and experience in manipulating data sets using statistical software (e.g., R, SAS) or other methods. Additional Details: mPokket is a company that values innovation and collaboration. The team culture encourages learning and growth, providing opportunities to work on cutting-edge technologies and projects that have a real impact on the business. Thank you for considering a career at mPokket.,

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Sr Analyst - Advanced Analytics, GIC SC Analytics Function/Group Supply Chain Location Mumbai Shift Timing 1.30 pm to 10.30 pm Role Reports to Assistant Manager - Advanced Analytics, GIC SC Analytics Remote/Hybrid/in-Office Hybrid About General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-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 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 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 man ages 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. Purpose of the role 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 and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing network and provides least cost sourcing options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities Developing Analytical Models (60% of Time) Develop different modeling approaches/techniques to solve the business problem at hand and recommends the best approach Work with the US & India Supply Chain partners to gather the required information and conducting the data validations & analysis. Understand Project charter- Business context, Scope, Outcome & success criteria. Build & refresh the capacity planning models periodically and provide recommendations to business teams in the areas of cost base capacity optimization, network change and service risk analysis. Provides analytics support during implementation and transition phase. Scenarios (15% of Time) Run & analyze what-if scenarios by leveraging advance optimization & simulation tools and provide insights to business team. Proactively analyze current set of the supply chain based upon facts and root cause analysis. Other Responsibilities (15% of Time) Ensure strong and clear process documentation and controls are in force Prepare analysis reports, presentation, methodology documents & assumption documents for client meetings. Communicate effectively with broad audience i.e., client/stakeholders/cross functional teams. Development Opportunities (10% of Time) Interact with cross-functional teams/stakeholders regularly to share opportunity areas and help reduce losses. Minimum Qualifications Full Time graduation from an accredited university (Mandatory) 3 years of related experience Advanced Excel, VBA, SQL, Basic optimization, Linear Programming Deliver outstanding results. Completes tasks, activities, and projects in a timely and effective manner. Communicates progress about projects with others to ensure overall alignment. Provides ideas and input to help team achieve greater result. May lead a defined portion of a project. Assumes personal initiative and accountability for results, performance, and behaviors. 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. Preferred Qualifications Master's degree 3+ years of experience in core Supply Chain Major Area of Study in Supply Chain / Production Planning Tools & Concepts Professional Certifications: CSCP, CPIM R/Python based optimization, Statistical modelling, Stochastic SQL/GCP JOB OVERVIEW

We are looking for a highly motivated and experienced Data Scientist with strong expertise in Predictive AI and Operational Research (OR) to drive data-driven decision-making and optimization for complex business processes. This role involves designing, developing, and deploying machine learning and mathematical models to solve real-world operational problems across domains such as supply chain, logistics, manufacturing, finance, and customer service. Project Description The engineer is supposed to participate in various Predictive AI projects such as Demand Sensing and Forecasting, Price and Promotion Optimization and others. Details on Tech stack Python Experience with linear optimization algorithms: Linear Programing and Mixed Integer Programing Experience with non-linear optimization algorithms: Gradient based and Metaheuristic algorithms (such as Genetic Algorithm, Simulation Annealing etc.) Experience with Simulation techniques (such as Montecarlo, MCMC, discreet event, agent-based modeling etc) Ability to recognize optimization type of problem (such as Max Flow, Schedule Problem, Knapsack problem etc) Experience with cloud (any cloud work - GCP,AWS) Experience with commercial and non commercial solvers (such as commercial Gurobi, Hexaly etc. & non commercial HiGHS, CP-SAT OrTools etc) Nice to Have Requirements Experience with supply chain domain Experience with pricing and promotion domain Experience with deploying models Experience with time series predictive models Experience with feature engineering for time series data Experience with classical ML techniques Experience with CI/CD Google cloud (GCP) and Vertex AI Perks & Benefits: Competitive salary & performance-based bonuses Remote work flexibility / Hybrid options Continuous learning budget & GenAI certifications Opportunity to work on cutting-edge AI projects Dynamic and collaborative team environment

The position of Corporate Banking Strats at Deutsche CIB Centre Pvt Ltd in Mumbai, India, requires working in collaboration with the London/New York team on various quantitative and regulatory driven projects. As a Corporate Banking Strats Associate, you will be responsible for understanding business problems, gathering necessary information, and providing end-to-end optimized solutions on a scalable platform. The implementation of projects will involve using Python and C++ programming languages. Effective communication skills are essential to coordinate with stakeholders worldwide. As part of the benefits package, you will enjoy a best-in-class leave policy, gender-neutral parental leaves, childcare assistance reimbursement, flexible working arrangements, sponsorship for industry certifications, employee assistance program, comprehensive insurance coverage, and health screening. Key Responsibilities: 1. Centralize and automate Risk in Banking Book for Corporate Banking business 2. Analyze and break down complex business problems into manageable statements 3. Coordinate with stakeholders to gather relevant information 4. Design optimized and scalable automated solutions 5. Develop tables, databases, and applications/libraries for implementation Skills and Experience: - Strong educational background in Engineering/Science from reputed Indian colleges - Proficiency in Python programming with at least 3 years of experience - Experience in relational database design (Oracle, MySQL) for at least 2 years - Good understanding of C++ programming concepts - Knowledge of applied econometrics, linear programming, and big data analysis - Excellent communication, problem-solving, and analytical skills Support: - Training, coaching, and development opportunities for career growth - Guidance from experienced team members - Continuous learning culture - Tailorable flexible benefits Deutsche CIB Centre Pvt Ltd aims to create value through exceptional talent and a collaborative culture. The company encourages responsible actions, commercial thinking, initiative, and teamwork. Join us to excel together and be part of Deutsche Bank Group's success. We promote a positive, fair, and inclusive work environment for all individuals. Visit our website for more information: [https://www.db.com/company/company.htm](https://www.db.com/company/company.htm),

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real-time. Aera helps enterprises around the world transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the worlds best-known brands. Responsibility Model Development : Assist in designing, implementing, and testing mathematical models for optimization problems (e.g., linear programming, integer programming, mixed-integer programming, network flow models) Collaborate on creating scalable optimization models for applications like planning, routing, scheduling, inventory management, and capacity utilization. Create heuristic models in addition to mathematical models as per the problem requirements. Data Analysis: Derive insights from data. Validate model inputs and outputs Clean, pre-process and integrate datasets for use in optimization models. Testing & Documentation thoroughly testing your work before deploying and Documenting About you Bachelor’s degree in Operations Research, Industrial Engineering, Mathematical Modeling or related fields The duration of the internship is 6 months. Experience with optimization modeling and solvers (CPLEX, Gurobi, COIN-OR, etc.) Experience with python Proactive self-starter who is comfortable taking ownership of their work and meeting deadlines Willingness to join full-time on successful completion of internship Our Environment AWS hosted infrastructure Linux Python

Role Description Deutsche CIB Centre Pvt Ltd is Deutsche banks global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Debt Strategic Analytics (Strats). The candidate is required to work in close collaboration with London/Singapore teams on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills to coordinate and communicate effectively with various stakeholders spread across the globe. Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your key responsibilities The Quantitative Strategist (Quant Strat) is responsible for designing, developing and implementing through analytical (quantitative) and direct coding (e.g., via C++; Python or any other relevant application), quantitative strategic models, risk management (credit risk, market risk, anti-financial crime etc.) and pricing solutions to meet business & control needs and drive respective strategies or regulatory adherence. Some responsibilities for this role include, but not limited to: Work with Capital and Liquidity Management colleagues in Treasury to develop a framework to optimize funding for the bank, manage asset and liability mismatches in the liquidity pool and bring more transparency into the process. Development of complex processes, framework or risk analysis as well as improvements specially focused on Liquidity Risk. Implement, enhance and maintain existing framework to measure market risks across the bank from Treasury perspective. Remediation of regulatory as well as external and internal findings against any existing risk model. Build quant driven tools and products for front-office and control functions. Coordinate and gather information from various stakeholders for deeper understanding of the business. Develop and design tables and databases required for storage of the data. Design an automated solution which is optimized and scalable. Your skills and experience Strong programming skills in C++ and Python preferably in financial industry. Relevant experience of at least 8 years in Banking or Software Development. At least 3+ year experience with relational database design (oracle, mysql). Strong understanding of Data Structures & Algorithms, memory optimization etc. Good quantitative skills in Probability, Calculus, and Linear Algebra. Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) is a plus. Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms is a plus. Relevant experience in some of financial products like Bonds, Swaps, Cross Currency Swaps, Loans & Deposits is a plus. Strong communication skills and presentation ability with attention to detail. Good problem-solving instincts and strong analytical skills. Strong educational background in Engineering/Science, preferably from top tier colleges in India.

As a Quantitative Analytics Specialist at Wells Fargo, you will play a crucial role in independently overseeing the management of model risk exposures across the enterprise. Your responsibilities will include developing, implementing, and calibrating various analytical models, performing complex activities related to financial products and business analysis, and utilizing statistical and mathematical models using Python, R, SAS, C++, and SQL. You will also provide analytical support, offer insights on business initiatives, and analyze workflow processes to recommend improvements in risk management. To qualify for this role, you should have at least 2 years of Quantitative Analytics experience or equivalent demonstrated through work experience, training, military experience, or education. A Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a quantitative discipline is required. Desired qualifications include experience in model validations for areas such as Treasury, Capital, Liquidity, Operational, and Business Planning, among others. You should be able to execute validation processes based on supervisory guidance, risk management policies, and industry best practices. Proficiency in Python, exposure to Balance sheet Models, and hands-on experience with quantitative methodologies will be beneficial. Additionally, you are expected to have practical quantitative programming experience with SAS, SQL, Python, and R, and be comfortable working with large datasets. Building and maintaining effective relationships with key partners and stakeholders, understanding model risk supervisory guidance, and continually striving to enhance the quality of independent model validation are also key aspects of this role. A PhD or Master's degree in relevant fields with 2+ years of experience is preferred. The shift timings for this role are from 1:30 PM to 10:30 PM. Candidates applying for this position are encouraged to support diversity initiatives. Wells Fargo values building strong customer relationships while maintaining a risk-mitigating and compliance-driven culture. Employees are responsible for executing risk programs and adhering to policies, procedures, and compliance obligations. Please note that the job posting may close early due to the volume of applicants. Wells Fargo is committed to maintaining a drug-free workplace and requires candidates to represent their own experiences during the recruitment and hiring process. If you have any disabilities and require accommodations during the application or interview process, please visit Disability Inclusion at Wells Fargo.,

You will be responsible for designing end-to-end solutions utilizing the Blue Yonder ESP module to optimize supply chain operations. Your role will involve understanding business processes, drafting requirements, designing innovative solutions, supporting IT development, user testing, implementation, and change management. Additionally, you will configure, customize, and implement Blue Yonder ESP software to meet business requirements. Collaborating with functional and technical teams, you will identify test cases aligned with functional design and support project teams throughout the implementation process. Working closely with the business, you will identify testing scenarios and opportunities to automate and enhance business processes and systems. Building and maintaining relationships with internal customers to meet their expectations will be a key aspect of your role. You will also be responsible for conducting system integrations with other ERP systems as required and developing and delivering training sessions for business users. The ideal candidate should have experience migrating from SCP to ESP and possess a strong knowledge of data modeling and linear programming for ESP. To be successful in this role, you should have 7-10 years of experience as a Solution Architect or Consultant focusing on Blue Yonder ESP. Proficiency in configuring and customizing the Blue Yonder ESP module, expertise in database concepts, PL/SQL scripting, and knowledge of supply chain management processes are essential. Excellent communication and presentation skills are necessary for effective interaction with clients and internal teams. Having Blue Yonder ESP certification(s) and familiarity with SAP integration for ESP will be advantageous. If you require any further information, please let us know.,

Job Description: We are looking for an Operations Research professional to design and implement solutions for scheduling, optimization, assignment, and alignment problems. The ideal candidate should have strong problem-solving skills along with hands-on expertise in mathematical modeling and optimization techniques. Key Responsibilities: Build and implement optimization models for scheduling and resource alignment problems. Apply linear programming and advanced OR techniques to business use cases. Develop algorithms and solutions using Python and Google OR-Tools (or similar solvers). Work with tools like CPLEX for large-scale optimization. Collaborate with stakeholders to translate business requirements into OR models. Required Skills & Experience: Strong background in Operations Research and Optimization. Proficiency in Linear Programming. Hands-on experience with Python. Experience with solvers such as Google OR-Tools and CPLEX. Strong problem-structuring and analytical thinking ability. Preferred Skills: Experience in applying OR techniques to real-world scheduling or assignment problems. Exposure to other optimization solvers will be an added advantage.

As an Analyst, Data Science at Kenvue in Bengaluru, India, you will be responsible for developing and implementing advanced analytics, optimization models, and machine learning solutions to address complex Operations Research business challenges. Working closely with cross-functional teams, you will analyze large datasets, identify patterns, and generate insights to drive business value. Your key responsibilities will include: - Developing, refining, and reviewing mathematical models for supply chain systems such as inventory management, production planning, transportation logistics, and distribution networks. - Applying advanced optimization techniques like linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve intricate supply chain problems. - Collaborating with stakeholders to understand business objectives, constraints, and requirements and translating them into mathematical models and optimization problems. - Working with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. - Analyzing large datasets, extracting relevant information, and identifying patterns and trends to support decision-making processes. - Following code versioning through tools like Bitbucket/GIT and documenting work on Confluence. - Building APIs for seamless integration with applications. - Keeping up-to-date with the latest developments in operations research, supply chain management, and optimization techniques. - Conducting research and exploring innovative approaches to address supply chain challenges and drive continuous improvement. What We Are Looking For: Required Qualifications: - Masters degree in Industrial Engineering, Operations Research, or Management Science or related field. - 2-4 years of business experience. - At least 2 years of experience in Supply Chain Optimization. - Proficiency in mathematical modeling and optimization techniques, including linear programming, integer programming, network flow, simulation, and heuristic algorithms. - Strong programming skills in languages like Python, experience in optimization libraries (e.g., Gurobi, FICO), and data manipulation tools (e.g., pandas, NumPy). - Experience with data analysis, statistical modeling, and visualization tools like SQL, Streamlit. - Hands-on Python programmer with a strong understanding of OOPs. - Knowledge of supply chain concepts like demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. Desired Qualifications: - APICS certification (CPIM, CSCP). - Microsoft certification (e.g., Azure Fundamentals). - Machine Learning certification. If you are passionate about leveraging your expertise in data science and optimization to make a meaningful impact on supply chain operations, we invite you to join our team at Kenvue in Bengaluru, India.,

Job Description Job Title : Senior Data Scientist Location : Chennai, Bangalore, Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Role Overview: We are seeking a seasoned Senior Data Scientist to join our dynamic team. This role offers the opportunity to lead end-to-end data science initiatives, from data engineering and predictive modeling to advanced analytics and machine learning model deployment. The ideal candidate will possess a strong foundation in Python, PySpark, Databricks, and Power BI, coupled with experience in predictive modeling, forecasting, and optimization techniques. Key Responsibilities 1. ETL Development Pipeline Development: Design, develop, and optimize scalable ETL pipelines using Python, PySpark, and Databricks to process large datasets efficiently. Data Integration: Integrate data from various sources, including APIs, RDBMS, flat files, and streaming data, ensuring seamless data flow across systems. Data Quality Assurance: Implement data quality checks, validations, and logging mechanisms to ensure the integrity and reliability of data pipelines. Cloud Platform Utilization: Leverage cloud platforms (AWS, Azure, or GCP) and storage solutions to build and maintain robust data infrastructure. Orchestration & Automation: Utilize orchestration tools like Databricks Workflows, Airflow, or Azure Data Factory to schedule and monitor pipelines, ensuring timely data availability. 2. Machine Learning & Advanced Analytics Predictive Modeling: Build and deploy machine learning models for regression and classification tasks using algorithms such as Random Forest, XGBoost, and support vector machines. Dimensionality Reduction: Apply techniques like PCA and t-SNE to reduce data complexity and enhance model performance. Anomaly Detection: Implement anomaly detection models to identify outliers and unusual patterns in data. Forecasting: Develop forecasting models using time series analysis and other statistical techniques to predict future trends. Optimization: Utilize optimization methods, including Linear Programming and Goal Seek, to solve complex business problems and improve decision-making. 3. Reporting & Visualization Power BI Dashboards: Develop and maintain interactive Power BI dashboards and reports to provide actionable insights to stakeholders. Data Standardization: Standardize and harmonize data across different sources to ensure consistency and accuracy in reporting. Stakeholder Collaboration: Work closely with business teams to understand reporting requirements and deliver solutions that meet business needs. 4. Automation & Process Improvement Automation Scripting: Write Python scripts to automate repetitive tasks, improving efficiency and reducing manual intervention. Process Optimization: Continuously evaluate and improve data processing workflows to enhance performance and scalability. CI/CD Implementation: Implement Continuous Integration and Continuous Deployment practices to streamline development and deployment processes. 5. Stakeholder Management & Collaboration Cross-functional Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions that drive business value. Technical Leadership: Provide guidance and mentorship to junior team members, fostering a collaborative and high-performance team environment. Communication: Effectively communicate technical concepts and insights to non-technical stakeholders, ensuring alignment with business objectives. You are important to us, let's stay connected! Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. 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 .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 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 .Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience). .6 - 9 years of relevant experience .Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics .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 .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. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At:

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Sr Analyst - Advanced Analytics, GIC SC Analytics Function/Group Supply Chain Location Mumbai Shift Timing 1.30 pm to 10.30 pm Role Reports to Assistant Manager - Advanced Analytics, GIC SC Analytics Remote/Hybrid/in-Office Hybrid About General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-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 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 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. Purpose of the role 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 and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing network and provides least cost sourcing options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities Developing Analytical Models (60% of Time) Develop different modeling approaches/techniques to solve the business problem at hand and recommends the best approach Work with the US & India Supply Chain partners to gather the required information and conducting the data validations & analysis. Understand Project charter- Business context, Scope, Outcome & success criteria. Build & refresh the capacity planning models periodically and provide recommendations to business teams in the areas of cost base capacity optimization, network change and service risk analysis. Provides analytics support during implementation and transition phase. Scenarios (15% of Time) Run & analyze what-if scenarios by leveraging advance optimization & simulation tools and provide insights to business team. Proactively analyze current set of the supply chain based upon facts and root cause analysis. Other Responsibilities (15% of Time) Ensure strong and clear process documentation and controls are in force Prepare analysis reports, presentation, methodology documents & assumption documents for client meetings. Communicate effectively with broad audience i.e., client/stakeholders/cross functional teams. Development Opportunities (10% of Time) Interact with cross-functional teams/stakeholders regularly to share opportunity areas and help reduce losses. Minimum Qualifications Full Time graduation from an accredited university (Mandatory) 2 to 3 years of related experience Advanced Excel, VBA, SQL, Basic optimization, Linear Programming Deliver outstanding results. Completes tasks, activities, and projects in a timely and effective manner. Communicates progress about projects with others to ensure overall alignment. Provides ideas and input to help team achieve greater result. May lead a defined portion of a project. Assumes personal initiative and accountability for results, performance, and behaviors. 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 confidenc e 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. Preferred Qualifications Master's degree 4+ years of experience in core Supply Chain Major Area of Study in Supply Chain / Production Planning Tools & Concepts Professional Certifications: CSCP, CPIM R/Python based optimization, Statistical modelling, Stochastic SQL/GCP JOB OVERVIEW

As a techno-functional supply chain manager at A&M, you will be an independent contributor to drive supply chain optimization, analytics, and strategy projects for our clients. Your role will involve working on various supply chain initiatives, from developing target operating models to implementing solutions like inventory optimization and network optimization. You will need to be entrepreneurial, driven by growth, comfortable with ambiguity, and hands-on to get things done effectively. Reporting to the Senior Director of Performance Improvement, you will be based in Gurgaon. Your responsibilities will include working on supply chain strategy, analytics, planning, and optimization. You should have a strong understanding of supply chain core areas and be able to build models such as SKU rationalization, cost-to-serve, RCCP, customer segmentation, and more. Experience or certification in tools like Alteryx, Power BI, Python, or linear programming platforms will be advantageous. To be successful in this role, you should have an MBA or Master's degree in Supply Chain Management, Logistics, Business Administration, or a related field, along with 3-6 years of experience in supply chain management and consulting. Strong analytical, problem-solving, communication, and interpersonal skills are essential. You should be detail-oriented, organized, and able to manage multiple projects efficiently while meeting deadlines. At A&M, we value an inclusive and diverse culture where independent thinkers and doers thrive. Our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide our work and interactions. We encourage everyone to bring their whole selves to work, embracing diversity and inclusiveness in all aspects of our business. A&M is an Equal Opportunity Employer and does not accept unsolicited resumes from third-party recruiters.,

As a Senior Business Analyst in the Data Science team at Kenvue, your primary responsibility will be to deliver Optimization solutions to cross-functional Supply Chain teams. You will collaborate with subject matter experts to understand business context and key questions, and work with various teams to ensure the delivery of scalable data science solutions. Your role will involve mathematical modeling and optimization, data analysis and insights generation, solution deployment, as well as research and innovation in the field of operations research and supply chain management. In the Mathematical Modeling and Optimization domain, you will develop, refine, and review mathematical models representing supply chain systems, applying advanced optimization techniques to solve complex problems. You will collaborate with stakeholders to translate business objectives into mathematical models and conduct sensitivity analysis and risk assessment to evaluate performance impact. For Data Analysis and Insights, you will analyze large datasets, extract relevant information, identify patterns, and trends to support decision-making processes. Collaborating with data scientists and business analysts, you will preprocess data, ensuring accuracy, and generate actionable insights to optimize operations and improve customer service. In Solution Deployment, you will present findings and recommendations clearly, balancing speed to market and analytical soundness. You will work with internal stakeholders to ensure timely testing and deployment of products. Your role will also involve staying updated with the latest developments in operations research and exploring innovative approaches to address supply chain challenges for continuous improvement. The ideal candidate for this position would hold a Master's degree in Industrial Engineering, Operations Research, or Management Science, with at least 3 years of experience in Supply Chain Optimization. Proficiency in mathematical modeling, optimization techniques, and programming skills in languages like Python, R, or MATLAB is essential. Experience with data analysis, statistical modeling, and knowledge of supply chain concepts are also required. If you are passionate about driving insights, innovation, and impacting the lives of millions through data science, this role at Kenvue in Bangalore is a brilliant opportunity for you to shape the future of supply chain operations and contribute to the company's success. Join us at Kenvue and be part of a global team committed to delivering the best products to our customers, with empathy, expertise, and a focus on care.,

As an Operations Research Scientist at GreyOrange, you will be responsible for designing, developing, and implementing advanced models and algorithms to improve decision-making processes across various business functions. Your role will involve collaborating with cross-functional teams, including product development and engineering, to optimize processes, enhance product performance, and solve complex problems using mathematical and computational methods. The ideal candidate for this position should have a deep understanding of optimization, statistical modeling, and machine learning, along with a passion for addressing real-world challenges in a high-tech environment. You will be expected to: - Develop and apply advanced operations research models, such as optimization, simulation, and stochastic models, to address complex business challenges. - Collaborate with engineering, data science, and product teams to integrate operations research models into SaaS platforms for actionable insights. - Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, nonlinear optimization) to drive business efficiency and effectiveness. - Analyze large datasets and create predictive models using statistical and machine learning techniques to enhance decision-making processes. - Build mathematical models, simulations, and optimization algorithms to represent real-world systems or problems, using techniques like linear programming, dynamic programming, queuing theory, or game theory. - Construct simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics. - Work with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions. - Collaborate with cross-functional teams to implement solutions and communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations. - Explain complex mathematical concepts and results in a clear and understandable manner to non-technical stakeholders. - Monitor solution performance, refine models based on feedback and new data, and stay updated on the latest advancements in operations research, machine learning, and optimization to develop innovative solutions. - Document models, algorithms, and analytical processes for future reference and team knowledge sharing, and generate reports summarizing analysis outcomes and model performance. Requirements: - Masters or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field. - Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis. - Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB). - Familiarity with data analysis, machine learning techniques, and simulation. - Excellent problem-solving skills and the ability to translate complex problems into actionable insights. - Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders. - Experience managing or contributing to research projects in a fast-paced environment.,

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

As a Supply Planning & Response (E2PR) professional, your primary goal is to ensure the efficient alignment of customers" demands with all distribution or production processes within a company-wide or extended supply network. You will play a crucial role in identifying material and capacity constraints and aligning resources based on customer or business priorities. Your operational challenge will be to provide precise delivery dates consistently, requiring you to understand and respond to dynamically changing requirements rapidly, flexibly, and reliably. The Supply Planning & Response application you will work with offers key features such as responding to and implementing short-to long-term supply plans efficiently, utilizing graph-based patented algorithms, supporting various manufacturing methods, offering a feature-rich UI/UX for visualizing the supply network, utilizing in-memory database for enhanced computation performance, and providing flexible reporting framework along with analytics capabilities. In this role, you can expect: - A varied and challenging position in a multinational and innovative supply chain company - A culture that is open-door, team-centric, and values collaborative and inclusive development - Competitive and performance-based remuneration including bonus and stock options - Flexible work model with options for hours and location - Unlimited Leave Policy - Comprehensive medical and pension plans - Training and certification opportunities to shape and achieve your career goals Your primary responsibilities will include working with global product development teams, contributing to server-side requirements, design, and development to solve complex supply chain management problems, participating in design and architecture discussions, aiming towards building a quality product within defined scope and release cycle, being open to learning new technologies and bringing new algorithms on board, and mentoring junior developers. To be successful in this role, you should have: - A degree in Computer Science, Engineering, or equivalent field - Strong knowledge of algorithms, data structures, optimization techniques, and object-oriented design patterns with implementation skills in Java or any Object-oriented programming language - Knowledge in Supply Chain Management, ERP domain, or equivalent - Understanding of Operations Research methodologies, linear programming, optimization solvers - Familiarity with software development life cycles, agile/scrum development, and unit testing - Strong analytical and problem-solving skills, ability to present ideas clearly, and a strong desire to learn - Excellent communication and documentation skills Nice-to-have skills and experiences include knowledge of containerization technologies like docker and Kubernetes, and cloud infrastructure expertise.,

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.

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

As an Associate Software Engineer Trainee at Jungleworks in Mohali, you will be part of a team that thrives on solving business challenges through innovative technology. We are seeking individuals who are passionate about leveraging technology and innovation in a collaborative team setting. Your role will involve collaborating with experienced professionals to design and develop innovative products. You will work in a large distributed computing environment, leading fundamental changes in the industry. Your responsibilities will include creating solutions to run predictions on distributed systems, designing and coding solutions, and delivering high-quality software in an agile environment. Basic qualifications for this role include being in the final year of a Bachelors or Masters Degree in Computer Science, Computer Engineering, or a related field from Tier 1 and Tier 2 colleges. You should have familiarity with languages such as MEAN, MERN stack, .NET/C# stack, and FReMP stack (Flask, React, MongoDB, Python), as well as knowledge of Computer Science fundamentals. Preferred qualifications include previous technical internships, experience with distributed systems and relational databases, knowledge of optimization mathematics, and the ability to effectively articulate technical challenges and solutions. At Jungleworks, we offer a growth-oriented work environment where you will have the opportunity to develop professionally and tackle challenges head-on. We believe in providing opportunities based on merit and fostering rapid growth. If you are seeking a fast-paced organization where you can grow, we invite you to join us.,

As an experienced professional in the field, you will be expected to demonstrate proficiency in a range of key areas. Your expertise should include statistical modeling, traditional machine learning, and Gen AI. Moreover, you should possess knowledge of various deep learning models such as LSTM, N-BEATS, CNN, and RNN. In addition, you are required to be well-versed in optimization techniques including linear programming and mix integer programming, along with familiarity with optimization tools like Opensolver and Gurobi. Your role will involve working with Data Bricks and Snowflake, engaging with ML/DL models, and interacting directly with business stakeholders and customer FTEs. Therefore, strong technological skills and effective communication are essential for success in this position. The must-have skills for this role include Time Series Modelling (LSTN, CNN, N-BEATS, RNN), proficiency in Data Bricks, statistical knowledge, Python programming, optimization expertise, as well as experience with Opensolver and Gurobi. Additionally, it would be beneficial to have experience with GenAI and Snowflake. The ideal candidate should have a minimum of 8-10 years of experience in the field, showcasing a deep understanding of the mandatory skills required for this role. Your ability to leverage your expertise in time series modeling, data manipulation, statistical analysis, and optimization tools will be instrumental in driving successful outcomes for the organization.,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for combining deep data science expertise with supply chain domain knowledge. Your role will involve engaging with Supply Chain Leaders globally to define analytical solutions that drive process optimization, predictive insights, and strategic decision-making across the supply chain ecosystem. You will lead 1-3 client engagements simultaneously, ranging from high-intensity pilots to full-scale solution implementations. This will involve interfacing with global Supply Chain Leaders to identify analytical needs and solution requirements, building and maintaining strong client relationships, and translating complex supply chain challenges into data-driven analytical frameworks. In terms of team leadership and project management, you will lead and mentor teams of Analysts, Senior Analysts, and Engineers, maintain command over project status and deliverables, actively contribute to technical solutions, and drive last-mile adoption through effective change management strategies. Your responsibilities will also include designing and implementing advanced analytics solutions for supply chain optimization, building predictive models for demand forecasting and inventory optimization, developing machine learning algorithms for procurement analytics and transportation optimization, and creating repeatable analytical tools and data models to solve specific business problems. You will apply statistical methods and operations research techniques to address complex supply chain challenges. Additionally, you will design sustainable, scalable, and self-serve analytical solutions for clients, oversee the development of data pipelines and ETL processes for supply chain data, ensure the integration of analytical solutions with existing supply chain software, and drive the adoption of cloud-based analytics platforms and modern data architectures. To be successful in this role, you should have a Master's degree with 6+ years of relevant experience in Supply Chain Analytics/Data Science or a Graduate degree with 7+ years of relevant experience. You should also possess deep expertise in at least one supply chain function, advanced proficiency in programming languages like Python/R, strong database management skills, experience with machine learning, and proficiency in data visualization tools. In summary, this role offers a tremendously impactful opportunity to join the Supply Chain Practice Leadership team, with independence in design and execution, opportunity for career growth, access to cutting-edge analytics tools, global exposure, and substantial performance-based compensation. As an Associate Manager, you will be expected to demonstrate expertise in analytical thinking, technical design, process consulting, program management, product management, and growth leadership.,