4 Nonlinear Optimization Jobs

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.,

You will be joining our Data & AI practice as an Individual Contributor and Functional AI Decision Science Consultant at Level 9, with the opportunity to work in Gurgaon, Bangalore, Mumbai, or Hyderabad. As part of a global team of skilled professionals, you will utilize cutting-edge statistical tools and methodologies to deliver data-driven insights and solutions for our clients. Your primary responsibilities will include defining data requirements for Data Driven Growth Analytics, analyzing and interpreting data, and ensuring data quality. You will work on market sizing, lift ratio estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merchandising AI capabilities. Additionally, you will develop AI/ML models using Azure ML tech stack, manage data pipelines, and leverage cloud platforms for deploying and scaling machine learning models. In this role, you will also be expected to manage client relationships, effectively communicate insights and recommendations, and contribute to capability building and thought leadership within the team. Your logical thinking and task management skills will be crucial to analyze data systematically and prioritize tasks efficiently. To be successful in this position, you should have a minimum of 4+ years of experience in Marketing analytics and 3+ years of experience in Data Driven Merchandizing. Proficiency in econometric/statistical modeling, Azure ML, SQL, R, Python, and PySpark is essential, along with a strong understanding of marketing data and business processes in the Retail and CPG industries. A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or related fields is required, along with excellent academic credentials. Additionally, knowledge of tools like Excel, Word, and PowerPoint for communication and documentation will be beneficial in this role. If you are seeking a challenging opportunity to work with a dynamic team of professionals and make a significant impact in the field of Data & AI, we invite you to apply and join our team at Accenture.,

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.,

The role of S&C Global Network - AI - Merchandising Analytics Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The ideal candidate must have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. Key technical skills required for this role include knowledge of SQL, R & Python language, proficiency in at least one cloud-based technology (Azure, AWS, GCP), building price/discount elasticity models, and conducting non-linear optimization. Additionally, familiarity with state space & mixed-effect modeling techniques, AI capability migration experience, econometric/statistical modeling, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential. Strong client communication skills are also important for this role. As part of the Analytics practice at Accenture, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. You will join a network of smart and driven colleagues experienced in leading statistical tools and methods. The company will invest in your learning and growth, supporting you in expanding your tech stack and certifications. In this role, you will define data requirements for Data Driven Merchandizing capability, clean, analyze, and interpret data, and carry out data quality analysis. Experience in Data Driven Merchandizing, pricing/promotions/assortment optimization capabilities, and proficiency in statistical timeseries models are preferred. You will work on developing AI/ML models in Azure ML tech stack, managing data pipelines, and collaborating with the team to create insights presentations and client-ready decks. Mentoring and guiding junior resources, strong communication skills, logical thinking, and task management knowledge are also key aspects of this role. Overall, this role offers the opportunity to work on cutting-edge projects, enhance your analytical and technical skills, and contribute to business performance improvement initiatives at Accenture.,