117 Cplex Jobs - Page 4

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

Job Title - Sales Excellence COE Advanced Modeling Manager- CF Management Level:ML7 Location:Open Must have skills: Machine learning algorithms, SQL, R, or Python, Advanced Excel, Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Google Cloud Platform (GCP) and BigQuery , Working knowledge of Salesforce Einstein Analytics; Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar Job Summary : Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelors degree or equivalent experience Excellent oral and written communication in English At least five years of experience doing data modeling and analysis work, which may include Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Masters degree in Analytics or similar field Understanding of sales processes and systems Knowledge of Google Cloud Platform (GCP) and BigQuery Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar Experience working with Power Apps About Our Company | AccentureQualification Experience: Minimum 5 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field

Job Title: Sales Excellence - COE - Advanced Modeling Specialist - CF Management Level: ML9 Specialist Location: Open for all Must have skills: - Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Job Summary : We are: Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelors degree or equivalent experience Excellent oral and written communication in English At least four years of experience doing data modeling and analysis work, which may include Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Understanding of sales processes and systems. Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Experience working with Power Apps. About Our Company | AccentureQualification Experience: Minimum 2 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field.

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

Kenvue is currently recruiting for a: Senior Business Analyst, Data Science What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Director Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do About Kenvue: Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes. Kenvue is currently recruiting for: Senior Business Analyst, Data Science, Digital Transformation Office This position reports to Senior Data Science Manager and is based at Bangalore. Role reports to: Senior Data Science Manager Location: Bangalore Travel %: 10% What you will do: The Senior Business Analyst, Data Science will work to deliver Optimization solution to cross-functional Supply Chain teams. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to ensure delivery of scalable data science solutions. The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner Key Responsibilities: Mathematical Modeling and Optimization: Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance. Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Data Analysis and Insights: Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels. Solution Deployment: Present findings, insights, and recommendations in a clear and concise manner. Make solution recommendations that appropriately balance speed to market and analytical soundness Work with internal stakeholders like Data Engineers, Data Scientist, Business Analyst, Project Manager to ensure that product is tested and deployed on time. Research and Innovation: Stay updated with the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. What we are looking for: Master in Industrial Engineering, Operations Research or Management Science or related field with 3+ years of total work experience in Supply Chain Optimization Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python, R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI. Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

What youll do for us Lead the complete lifecycle of a project from design to deployment of o9s solutions to customers across industries and geographies Effectively map the business requirements into o9s platform and come up with a clear, phased achievable blueprint. Lead the blueprinting sessions and publish the business requirements along with key design decisions and data dependencies Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process Diligently help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams Support customer demonstrations Be a mentor and guide to junior members What you’ll have 7 years of experience with implementing supply chain planning applications is a MUST. Statistical, Optimization and Simulation skills through software tools and packages like R,SAS, CPLEX or similar is desirabe. Deep understanding of supply chain planning concepts including Distribution Planning, Master Planning and S&OP. Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Experience in a planning solution deployment w.r.t to business requirement determination, solution and process design decisions, best practices prescription and value deliverable. Experience using agile methodology to deliver large scale enterprise implementations Ability to work collaboratively with cross functional teams, distributed across locations and time zones Education: Master’s Degree. Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering)

What youll do for us Lead the complete lifecycle of a project from design to deployment of o9s solutions to customers across industries and geographies Effectively map the business requirements into o9s platform and come up with a clear, phased achievable blueprint. Lead the blueprinting sessions and publish the business requirements along with key design decisions and data dependencies Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process Diligently help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams Support customer demonstrations Be a mentor and guide to junior members What youll have 7+ years of experience with implementing supply chain planning applications is a MUST. Statistical, Optimization and Simulation skills through software tools and packages like R,SAS, CPLEX or similar is desirabe. Deep understanding of supply chain planning concepts including Distribution Planning, Master Planning and S&OP. Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Experience in a planning solution deployment w.r.t to business requirement determination, solution and process design decisions, best practices prescription and value deliverable. Experience using agile methodology to deliver large scale enterprise implementations Ability to work collaboratively with cross functional teams, distributed across locations and time zones Education: Masters Degree. Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering)

What youll do for us The responsibilities include end-to-end o9 solution configuration, implementation, analytics, testing of solution and communication with internal and external stakeholders. Design Participate in process and business requirements sessions. Document to-be business process and requirements Work with clients to collect data, such as sales, shipment, inventory, logistics, and other supply chain data from sources like databases, Excel sheets, systems etc. Participate in solution and technical design Configuration Work closely with architects to build datasets as per the solution design Configure o9 user-interface, dimensions, measures, rules, plugins etc. using various tools and techniques provided by o9 Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization Testing Create and execute test-cases, document issues, and fix issue Communication Work with client cross-functional teams including IT and business stakeholders Assist with Super User and End User training for a global user base What youll have Education: Masters Degree. Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering) Experience: Internship or projects in supply chain is preferred Experience implementing supply chain planning solutions or working in the supply chain/ logistics domain with a focus on planning is preferred Skills: Strong analytical and problem solving skills Knowledge of various statistical, optimization and simulation techniques Statistical, optimization and simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Basic knowledge of databases (SQL Server, MySQL) and one or more languages like SQL, MDX, T-SQL or similar is required Knowledge of Python is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Ability to work in teams, distributed across locations and time zones

Role: Data Scientist Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Requirements: Must Have: 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). Familiarity with theory behind various machine learning concepts Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban). Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Experience in working with client-facing role. Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. Great communication skills. Nice to have: Other programming languages knowledge e.g., SQL, R Experience working in Spark (PySpark) Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Strong statistical/mathematical background Experience in working in matrix organization Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) Creation and following of standards to improve competency quality. Know-how and experience from projects in Supply Chain area, or optimization projects is a plus Why join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Please click on this website to submit your application: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=58b86d44db3b4c5993eab2801d9d9a01

The CPLEX Studio Optimization team is searching for a polyvalent developer/engineerwith a broad skill base to contribute to the development and maintainance of the CPLEX Optimization product and its associated tools.We are looking for talented and passionate software engineer with a strong background in Java and backend development, with ability to design, develop, test and document features and components. Duties would include (but not be limited to) development and maintainance of: - CPLEX Studio modeling and solving APIs - CPLEX Studio performance measurement infrastructure - Other CPLEX Studio modules as appropriate Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience. Excellent knowledge of the Java Ecosystem (JNI, OSGI/Equinox) Experience in designing and building applications Familiarity with build tool chains Some familiarity with Linux systems and admin tools Preferred technical and professional experience Comfortable on various systems (OS, CPU, containers) Knowledge of some IDE plug-ins development Knowledge of C, C++, Python or .NET Core Knowledge of JavaScript

We are seeking an Optimization Specialist focused on developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. In this role, you will play a pivotal part in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions that optimize complex business processes The ideal candidate will excel in formulating and solving various optimization problems (LP, MILP, combinatorial optimization, scheduling, etc.) and will be adept in applying innovative algorithms to achieve optimal solutions. Our current technical environment: Language: Python Frameworks/Others: COIN-OR , PyTorch, NumPy, SciPy, Pyomo and Django Application Architecture: Scalable, Resilient, Reactive, event driven, secure microservices architecture. Cloud: AWS What you’ll do: Mathematical Optimization Solvers: Design, develop, and implement advanced mathematical optimization models and solvers to address complex business challenges across various domains, such as scheduling, routing, resource allocation, and inventory management. Identify and model optimization problems across different kinds of Manufacturing businesses, focusing on LP, MILP, combinatorial optimization, and scheduling. Design and implement robust optimization algorithms, including both classical methods and advanced heuristic and metaheuristic techniques Evaluate and select appropriate non-commercial (e.g., COIN-OR, SCIP) and commercial solvers (e.g., Gurobi, CPLEX, COIN-OR, PuLP or AMPL) for specific problems, customizing and extending as necessary. Machine Learning Model Development: Design, develop, and deploy machine learning models to analyze large datasets, generate insights, and make predictions that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. Perform data analysis and statistical validation of models and solutions, ensuring accuracy and efficacy. Keep abreast of the latest developments in optimization and computational intelligence, incorporating these advancements into problem-solving strategies. Push the team towards better quality software by constructively pointing out opportunities to reduce complexity and to write cleaner code and more effective tests. Identify root causes of issues and fixes those rather than their symptoms. Design services to be self-healing and to offer self-service capabilities from the ground up to achieve minimum manual intervention. What we are looking for: 1-3 years of experience in Operations Research and Python programming Bachelors in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. Has experience building optimization models from scratch Preferably have some constraint programming knowledge and know-how to Understand standard scheduling / job shop model models and improve upon them Demonstrable experience with both non-commercial and commercial optimization solvers, with a keen ability to tailor solutions to complex problems. Strong statistical analysis skills, with proficiency in tools such as Python. Excellent problem-solving abilities, creativity in approach, and a track record of innovative solutions in optimization. Effective communication skills for presenting complex concepts to technical and non-technical audiences. About Techtinium Techtinium has a passion for innovative products. Specializing in the design and development of exceptional software, our diverse team includes developers, architects, designers, analysts, testers, project managers, and proud caffeine enthusiasts. Our success is rooted in the belief that our people are our greatest asset. Through careful selection, sourcing, hiring, and retention, we’ve cultivated a team of intelligent and motivated experts dedicated to delivering superior software solutions. At Techtinium, we consistently exceed expectations, fostering enduring relationships that have led to the establishment of separate dedicated companies to manage and nurture our products. Joining Techtinium means embarking on a journey where your skills are honed across the entire software development lifecycle. From mastering scalable applications to thriving in a positive, thought-provoking, and collaborative environment, your contributions will be valued in shaping creative solutions for our global clientele. If you’re ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We’re eager to welcome you to our team!

Roles & Responsibilities: Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data. Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points. Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency. Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams. Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock). Technical & Functional Skills: 6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain. Strong demand forecasting expertise- Time series, machine learning and deep learning models. Strong programming in Python, SQL; familiarity with GCP or Azure. Deep knowledge of supply chain processes - production planning, inventory management, and logistics. Experience with simulation tools (e.g. Arena) is a plus. Ability to communicate complex models to non-technical stakeholders and influence decision-making. Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization. About the Department | Digital Process and Excellence (DPEx): Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital. With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third. Some its priorities are: Reimagine Dr. Reddy’s as a ‘platform-based’ organization. Create Data as an asset that brings competitive advantage and business impact. Create Digital solutions that make the lives of our patients and customers easier and better.

A Ph.D., master’s degree in operations research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field and at least 2 – 8 years of work experience in applying advanced optimization/statistics techniques in engineering and manufacturing domain. Hands on experience in Operations Research/ Optimization LP, Integer programming, Mixed Integer Programming, Decomposition Algorithms, Simulated Annealing, Genetic Algorithm, Hybrid SA & GA, Tabu search, Discrete event Simulation, Ant colony optimization, Markov decision processes. Experience with CPLEX, Gurobi, Data Visualization tools. Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms. Experience in collaborating for strategic Optimization/OR roadmaps to advance business capabilities Develop and operate solutions that optimize and automate business decisions using large data sets and algorithms Exceptional problem-solving skills. Passion for translating data into action and business insights, and keen to learn and develop new methods/technologies. Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization Proficient in one or more of the following programming languages: C++, Python, R. Ability to communicate technical information to a non-technical audience.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities The CPLEX Studio Optimization team is searching for a polyvalent developer/engineer with a broad skill base to contribute to the development and maintainance of the CPLEX Optimization product and its associated tools. We are looking for talented and passionate software engineer with a strong background in Java and backend development, with ability to design, develop, test and document features and components. Duties would include (but not be limited to) development and maintainance of: CPLEX Studio modeling and solving APIs CPLEX Studio performance measurement infrastructure Other CPLEX Studio modules as appropriate Preferred Education Master's Degree Required Technical And Professional Expertise 4+ years of experience. Excellent knowledge of the Java Ecosystem (JNI, OSGI/Equinox) Experience in designing and building applications Familiarity with build tool chains Some familiarity with Linux systems and admin tools Preferred Technical And Professional Experience Comfortable on various systems (OS, CPU, containers) Knowledge of some IDE plug-ins development Knowledge of C, C++, Python or .NET Core Knowledge of JavaScript

We are hiring a Data Scientist (part-time) with a few years of experience. Expectation: about 15-20 hours per week for 3mths. Can turn into full-time for a strong performer. Join us and help us build the models that will define how resources are planned across Warehouses all over the US. You’ll lay the ML foundation to scale across thousands of warehouses and millions of packages. About Us Inveno is a US-based startup revolutionizing warehouse operations with intelligent resource planning powered by specialized AI. We’re on a mission to eliminate manual inefficiencies in warehouse management by building custom models that deliver smart, data-driven planning. What Problem Are We Solving — and Why? Today, 75% of US warehouses rely on manual shift planning — determining where staff go, which trucks unload where, which items get processed when — all without automation. This results in over $1 million in annual inefficiencies per warehouse. We are here to change that. By harnessing operational data and developing custom AI and optimization models, we help warehouse managers plan with precision, speed, and scale. Who’s Building This? We’re a founding team of 3: A warehouse operations expert with 8 years of experience at top logistics startups in the US and India. A CEO who’s built and exited 3 companies and led teams at Alibaba Group. A CTO who scaled engineering and systems at Bangladesh’s top-funded startup. Our Progress So Far Our V1 product is currently in development. We’ve already secured a paid contract with the global brand house with other major brands in the pipeline (including top US retailers) Key Responsibilities Lead Optimizer Development: Architect and implement our core optimization engine using tools like Google’s Math-OPT, NVIDIA cuOpt, or OR-Tools. Focus on improving labor planning, dock assignments, and wave planning to ensure on-time fulfillment. Build Machine Learning Models: Create and deploy supervised learning models to support and enhance the optimizer using complex real-world warehouse data. Shape LLM Interaction Layer: Collaborate with engineering to design workflows where LLMs convert user input into operational rules that feed into the optimizer. Establish MLOps Best Practices: Set up model versioning, deployment, monitoring, and experimentation pipelines that ensure robust and scalable ML infrastructure. Qualifications & Skills (Must-haves) Experience designing and deploying constraint-based optimization models using tools like Google OR-Tools, Gurobi, CPLEX, or similar. Advanced Python skills with fluency in the data science stack: NumPy, pandas, scikit-learn, etc. Strong foundation in supervised ML, including feature engineering, model selection, and validation techniques. Proven ability to translate complex operational problems into solvable mathematical or ML models. Bachelor’s or Master’s degree in Computer Science, Operations Research, Statistics, or a related quantitative field.

Title : Principal Data scientist Location : Chennai or Bangalore Experience : 10-13 years Job Summary We are seeking a highly skilled and techno-functional Optimization Specialist with 1013 years of experience in developing enterprise-grade optimization solutions and platforms. The ideal candidate will possess deep expertise in mathematical optimization, strong hands-on Python programming skills, and the ability to bridge the gap between technical and business teams. You will lead the design and deployment of scalable optimization engines to solve complex business problems across supply chain, manufacturing, pricing, logistics, and workforce planning. Key Responsibilities Design & Development : Architect and implement optimization models (LP, MILP, CP, metaheuristics) using solvers like Gurobi, CPLEX, or open-source equivalents. Platform Building : Lead the design and development of optimization-as-a-service platforms with modular, reusable architecture. Techno-Functional Role : Translate business requirements into formal optimization problems and provide functional consulting support across domains. End-to-End Ownership : Manage the full lifecycle from problem formulation, model design, data pipeline integration, to production deployment. Python Expertise : Build robust, production-grade code with modular design using Python, Pandas, NumPy, Pyomo/Pulp, and APIs (FastAPI/Flask). Collaboration : Work with business stakeholders, data scientists, and software engineers to ensure solutions are accurate, scalable, and aligned with objectives. Performance Tuning : Continuously improve model runtime and performance; conduct sensitivity analysis and scenario modeling. Innovation : Stay abreast of the latest in optimization techniques, frameworks, and tools; proactively suggest Skills & Qualifications : Bachelors or Masters in Operations Research, Industrial Engineering, Computer Science, or related fields. 1012 years of experience in solving real-world optimization problems. Deep understanding of mathematical programming (LP/MILP/CP), heuristics/metaheuristics, and stochastic modeling. Proficiency in Python and experience with relevant libraries (Pyomo, Pulp, OR-Tools, SciPy). Strong experience building end-to-end platforms or optimization engines deployed in production. Functional understanding of at least one domain : supply chain, logistics, manufacturing, pricing, scheduling, or workforce planning. Excellent communication skills able to interact with technical and business teams effectively. Experience integrating optimization models into enterprise systems (APIs, cloud deployment, Qualifications : Exposure to cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Familiarity with data visualization (Dash, Plotly, Streamlit) to present optimization results. Certification or training in operations research or mathematical optimization tools. (ref:hirist.tech)

With our AI-driven platform the o9 Digital Brain we integrate global enterprisessiloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage But our impact doesnt stop there Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too, We're on the lookout for the brightest, most committed individuals to join us on our mission Along the journey, well provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet, What youll do for us Demonstrate thorough knowledge of industry best practices, business processes, o9s solutions, technical architecture, and value proposition, Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows, Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem Be the single point of contact for any platform level upgrade/patch/hot fix, Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems, Create and execute workflow and data analytics test-cases Work on bugs/issues and track progress at resolving issues using support tool, Support Super User and End User training, for a global user base, Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams, What youll have Experience: 2+ years of experience with implementing planning applications is a MUST, Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable, Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP, Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain Patient listener with the ability to clearly articulate your view point to manage and deliver to customer expectations, even under pressure Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key, We really value team spirit: Transparency and frequent communication is key At o9, this is not limited by hierarchy, distance, or function, What well do for you Competitive salary and benefits, High growth organization very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day, Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials If youre in the office, feel free to join these events in person, Food and drink:

Location Chennai, Tamil Nadu, India Job ID R-229643 Date posted 18/06/2025 Job Title: Lead Consultant - Principal AI Engineer Introduction to role: Career level: E Are you ready to tackle the most challenging AI and mathematical optimization problems in the pharmaceutical industry? As a Lead Consultant - Principal AI Engineer, you'll join a global team of technical experts, including AI engineers, data scientists, and software developers. Your mission? To design, develop, and support innovative tools that will revolutionize AstraZeneca's operations, making us more efficient in our quest to improve the lives of millions of patients worldwide. Are you up for the challenge? Accountabilities: Contribute to the design and development of end-to-end mathematical optimization or AI solutions for the business. Visualize complex datasets and model outputs using the latest front-end technologies. Mentor AI scientists, plan and supervise technical work, and collaborate with stake holders. Work within an agile framework and in multi-functional teams to align AI solutions with business goals. Engage internal stake holders and external partners for the successful delivery of AI solutions. Continuously monitor and optimize AI models to improve accuracy and efficiency. Document processes, models, and key findings & contribute to building internal AI capabilities. Essential Skills/Experience: Bachelor's in operations research, mathematics, computer science, or related quantitative field. Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph). Demonstrated experience (at least 3 years) using mathematical optimization software such as CPLEX, Gurobi, XPRESS or OR-Tools. Experience with heuristic and meta-heuristic algorithms as an alternative to the above software. A working knowledge of optimization concepts. 5+ years of experience and demonstrable technical skills in developing mathematical optimization solutions for complex real-world problems. Proven, hands-on coding experience, knowledge of software development standard methodologies and deployment practices such as CI/CD, testing, version control. 5+ years of experience developing high-quality optimization tools. Ideally including Python. A track record of understanding and translating complex business problems into engineering problems. Creative, collaborative, & product-focused. Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch. Experience productionizing ML/Gen AI services and working with complex datasets. Strong understanding of software development, algorithms, optimization, and scaling. Excellent communication and business analysis skills. Desirable Skills/Experience: Master’s or PhD in a relevant quantitative field. Cloud engineering experience (AWS cloud services). Snowflake. Software development experience (e.g. React JS, Node JS). When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca is where innovation meets large-scale impact. We connect across the entire business to drive transformative change and improve patient outcomes. Our inclusive team thrives on collaboration with leading experts, leveraging cutting-edge techniques to deliver novel solutions. Here, you can raise your personal profile by publishing your work and showcasing your achievements. We empower our employees to drive efficiencies that enable success while maintaining high ethical standards. Join us as we continue our journey towards becoming a digital and data-led enterprise. Ready to make a difference? Apply now and be part of our transformative journey! Date Posted 19-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. ]]>

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You will spend a significant part of your time solving complex client problems in the Supply Chain domain, specializing in digital Supply Chain Planning supported by SCM Connections. You will work in teams to collaborate with our clients to define new organizational structures, roles and processes across global organizations. This includes gathering and analyzing information, formulating, and testing hypotheses, and developing recommendations for presentation to client management. You will make a meaningful, hands-on contribution to the analysis, design, and implementation of business performance approaches, developing tailor-made solutions and working closely with clients to ensure positive impact and sustainable results. In this exciting collaborative culture, you will not only have the opportunity to work directly with clients, you will also share your expertise and insights with colleagues globally, thereby expanding our knowledge and refining our approaches in the Manufacturing & Supply Chain field. In addition to client-facing responsibilities, you will also help to configure and deploy supply chain planning systems (e.g., O9, Kinaxis, SAP IBP, etc.) at various clients and facilitate the data integration of clients’ legacy systems and advanced planning solution. You will define and coordinate the execution of user acceptance testing (UAT) and created tailored, comprehensive training documentation to assist with change management. Additionally, you will help to enhance the collective firm knowledge with regards to supply chain technology, contributing to our knowledge base and helping to create new offerings to be deployed at clients. Projects may include leading the deployment of supply chain planning solutions at clients, assisting clients with selection of technology for supply chain planning, stochastic simulation of inventory levels with the objective of creating a robust inventory policy, and conducting diagnostics on supply chain health and performance for our clients. You will use your expertise to drive change in system and help guide clients on their digital supply chain journeys, as well as improvements to the overall execution of the supply chain. You will join one of our McKinsey Gurugram/Chennai offices as a part of the Manufacturing and Supply Chain team (MSC-X), the analytics wing of McKinsey & Company's Operations practice, that focuses on deeply tech-enabling our client service. MSC-X comprises an ecosystem of customizable, web-based digital tools that turbocharge McKinsey diagnostics while serving as a platform on which clients can digitize their plants and production environments to improve performance. Our open-source technology allows groups to capitalize on existing modules and use pre-built benchmarking infrastructure. You will work directly with our clients and McKinsey colleagues to deploy our digital capabilities and ensure we bring tangible, lasting impact to clients. Our client project teams work with major global organizations across multiple industries to solve their most challenging problems. In most cases, this means working on site, directly with client engineering groups. Additionally, you will work with internal product development teams to ensure we optimize our capabilities and constantly innovate. Your Qualifications and Skills Post-graduate degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning 8+ years’ experience in a client-facing consulting role configuring and deploying supply chain planning systems such as O9, SAP IBP, Kinaxis, Blue Yonder, E2Open, OMP, Anaplan, etc. Good understanding of data requirements for advanced planning systems and the technical requirements for data integration and optimization Experience in leading a technical team on solution delivery Experience with agile and scrum methodologies and/or familiarities with common ERP systems (e.g., SAP) preferred Statistical, optimization and simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization Skills to communicate complex ideas effectively Demonstrated aptitude for analytics Comfortable with extensive travel, up to 80% Show more Show less

We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. Collaborate with business stakeholders to gather requirements and translate them into data science use cases. Build robust data pipelines and use statistical and machine learning methods to drive insights. Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. Minimum 8 years of relevant experience in data science, with a strong focus on optimization. Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. Experience with end-to-end lifecycle of internal optimization projects. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. Familiarity with dashboards and visualization tools like Power BI or Tableau. Prior experience in consulting or internal centers of excellence (CoE) is a plus. Additional Notes This is a contractual/project-based role and not a permanent/full-time position. Compensation will be finalized post-interview, based on mutual agreement and project scope. The project may be divided into phases, with compensation linked to successful milestone completion. Skills: data science , communication , mentoring , optimization , metaheuristic algorithms,sql,linear programming,data pipelines,python,machine learning,mathematical optimization,mixed-integer programming,operations research,statistical methods,heuristic algorithms

Job Title : O9 Solutions Consultant Location : PAN India Experience : 5 Years - 10 Years Notice Period : Immediate Joiners to 30 Days ( Not considering the candidate's with 60 Days and 90 Days NP ) Desired Skills : ✅ 5+ years of experience on SCM ✅ 2+ years of experience on O9 ✅ Hands-on expertise in Supply Planning and o9 Supply Chain Solver is a must ! Job Description : Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process Plan, develop and deliver Super User and End User training, for a global user base. Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams Support customer demonstrations Be a mentor and guide to junior members What you should possess: At least 5 years of experience with implementing Demand planning applications is a MUST Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable Understand concepts of history cleansing, customer segmentation, statistical forecast algorithms and their uses, forecast errors, consensus planning and S&OP process. Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Interested candidate can share me your profile to the below mail Id : harsha.kulkarni@cogniznat.com Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less