117 Cplex Jobs - Page 2

You are invited to join ORMAE, a successful Tech start-up founded by Dr. Amit Garg, a Guinness World Record Holder and IIT Delhi Graduate, renowned for his achievements in Global Math Championships. With 30+ Global Clients, including 12+ $1B+ Clients, ORMAE has undertaken 50+ Optimization & Data Science Projects worldwide, spanning countries like USA, Germany, UAE, Saudi Arabia, Japan & India. Backed by 3 Angel Investors from UAE, ORMAE is a pioneering Operations Research & Data Science consulting company, specializing in converting revolutionary digital business transformation ideas into innovative Optimization and Data Science solutions. As an experienced Operations Research Scientist Manager/ Sr. Manager, you will play a crucial role in delivering solutions for the complex problems faced by our esteemed clients. This leadership position entails managing and mentoring a team of 15+ high potential OR Scientists. You will have the opportunity for international travel, enhancing your career growth prospects. The ideal candidate should possess at least 9 years of experience in designing and implementing complex/large scale optimization solutions, with exposure to Operations Research algorithm design and implementation. Advanced analytics experience is highly preferred. An in-depth understanding of mathematical modeling, including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, and AMPL is expected, with a preference for AIMMS knowledge. Proficiency in Optimization & statistical software such as Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is desirable. A scientific mindset and keen interest in Operation Research algorithms like routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, and supply chain management are essential. Effective Team and Client Management skills are crucial for this role. Additional skills such as programming experience in Python/Java/C#/ C++/R of the optimization algorithm will be advantageous. A degree in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a related field from a reputed institute is required. Joining ORMAE offers a range of benefits including working with a dynamic team, international travel opportunities, and exposure to analytics for real-time problem-solving. The organization also provides a meritocracy-based Career Progression, Global Exposure, Livewire Environment, Great Technical cross-training & mentorship, Onsite Opportunities, and ESOPS options for all. Don't miss this chance to be a part of a happening start-up in the vibrant city of Bengaluru. For further details, feel free to contact Suren @ 8978920749 OR Vidhya @ 7904541818.,

Company & Culture: Bellatrix Aerospace is a space transportation company developing new age technologies that shape the future of our industry. We specialize in the development and production of propulsion systems and in-orbit transportation solutions. Our work has won two National Awards and backing of the government and many marque investors. More details of the company are available on https://in.linkedin.com/company/bellatrix-aerospace At Bellatrix, we strive to create an environment that rewards creativity, performance and perseverance. At the same time, we also understand that failures are stepping stones to success on a journey to create something that never existing. In other words, our culture is fueled by intellectual curiosity, and our team takes pride in creating technologies that impact India and the world, growing together and achieving their goals each day. Location: Bengaluru, Karnataka Type: Full-Time Job Summary We are seeking a skilled Astrodynamics Engineer to join our team, specializing in the design, analysis, and optimization of satellite orbits. The ideal candidate will be responsible for conducting advanced orbital mechanics simulations, optimizing orbital trajectories, and leveraging state-of-the-art tools for mission planning and analysis. Job Responsibilities ?Design and analyse satellite orbits and model relevant manoeuvres for a variety of missions, including LEO, MEO, GEO, and interplanetary trajectories. ?Develop and optimize orbital transfer strategies, station-keeping manoeuvres, and end-of-life de-orbit planning. ?Perform high-fidelity simulations of satellite missions using self-programmed algorithms and trajectory models required for FoV studies, illumination and energy balance as dictated by the requirements of GNC, Power and Thermal subsystems. ?Collaborate with systems engineering teams to integrate orbital designs into mission architectures. ?Conduct trade studies to evaluate mission scenarios, orbit selection, and propulsion needs. ?Generate detailed reports and visualizations of mission analyses to support decision- making in the mission operations of the spacecraft. ?Stay updated on emerging trends in astrodynamics, orbit optimization algorithms, and mission design techniques. Qualifications Education: ? Masters degree in Aerospace Engineering, Astrodynamics, Physics, Mathematics or a related field. A Ph.D. in the relevant field is a plus. Technical Skills: ?Strong expertise in orbital mechanics, including advanced perturbation theory, multi- body dynamics, and relative motion. ?Proven experience in orbit optimization techniques, such as low-thrust trajectory design, optimal control theory, delta-v minimization, and constellation management. ?Proficiency in using simulation tools such as STK (Systems Tool Kit) , NASA&aposs GMAT (General Mission Analysis Tool) , Freeflyer, MATLAB , Python , or equivalent. ?Familiarity with numerical optimization libraries (e.g., SciPy, CPLEX, or Gurobi) and astrodynamics-specific toolkits (e.g., Orekit or Poliastro) is highly desirable. Experience: ?2-8 years of hands-on experience in orbit simulation, mission analysis, optimization or related fields. ?Demonstrated ability to develop custom scripts and workflows for mission-specific requirements. ?Experience with spacecraft subsystems and their impact on orbit design (e.g., propulsion, power, thermal). Soft Skills: ?Strong analytical and problem-solving skills with attention to detail. ?Excellent communication skills to present technical results effectively. ?Ability to work collaboratively in multidisciplinary teams. Preferred Qualifications: ?Experience with mission planning for CubeSats, small satellites, constellations or flight formation. ?Familiarity with interplanetary mission design and deep-space navigation techniques. ?Understanding of emerging technologies in autonomous spacecraft navigation and operations. This position offers the opportunity to play a critical role in shaping innovative satellite missions. If you&aposre passionate about advanced orbital mechanics and mission design, we encourage you to apply. Show more Show less

As a Post-Doctoral Fellow in the Department of Chemical Engineering at IIT Hyderabad, you will be involved in the project titled "Application of Deep learning techniques for Robust Optimal Project Design of Integrated Water networks towards sustainable water management in Petroleum Refineries." Working under the guidance of Prof. Kishalay Mitra and Co-PI Prof. Raja Banerjee, you will be responsible for contributing to cutting-edge research in the field. To qualify for this position, you must hold a Ph.D. in Operations Research, Optimization, Applied Mathematics, Chemical Engineering, Industrial Engineering, or a related field. Additionally, expertise in mathematical modeling and multi-objective optimization is highly desirable. Candidates with experience in deep learning & AI techniques, a strong background in Nonlinear Programming (NLP) & Mixed-Integer Optimization (MILP/MINLP), large-scale optimization, computational modeling of water networks, industrial water management, GAMS/CPLEX, and proficiency in MATLAB coding will be given preference. The application process involves filling out the Google form provided in the advertisement. You are required to upload your latest CV with contact details of at least 2 referees, scanned/digital copies of degree certificates and transcripts, as well as the abstract of your Ph.D. thesis along with 2 best publications. It is recommended that you instruct your recommenders to send their Letters of Recommendation directly to kishalay@che.iith.ac.in. Selection for this position will be done on a rolling basis, with applications being evaluated every 15 days until suitable candidates are selected. Shortlisted candidates will undergo an online interview, and those with prior relevant experience will be given preference. Immediate joining will be required post-selection, and the position will remain open until a suitable candidate is found. Join us in this exciting opportunity to contribute to impactful research in sustainable water management within the petroleum industry. Your expertise and dedication will play a crucial role in advancing the project's objectives and making a significant impact in the field of Chemical Engineering.,

As part of o9 Solutions" transformative mission to be the Most Valuable Platform (MVP) for enterprises, you will play a crucial role in driving intelligent decision-making through our AI-driven approach. By integrating planning capabilities and eliminating value leaks, you will contribute to enhancing operational efficiency and sustainability for businesses globally. Trusted by industry leaders such as Google, PepsiCo, and Walmart, o9 Solutions is at the forefront of optimizing supply chains and revolutionizing planning processes. Your responsibilities will include demonstrating in-depth knowledge of industry best practices, technical architecture, and o9's solutions. You will be accountable for ensuring solution usability and uptime, resolving customer issues promptly, and collaborating with fellow consultants to address design issues and business challenges effectively. Additionally, you will configure the o9 platform based on change requests to solve complex operational and supply chain problems, conduct workflow and data analytics test-cases, and support user training on a global scale. To excel in this role, you must possess a minimum of 2 years of experience in implementing planning applications and hold a degree in Btech/BE/MCA/Mtech. Proficiency in SQL, MDX, T-SQL, or similar languages, along with skills in statistical, optimization, and simulation tools like R, SAS, or CPLEX, will be advantageous. A deep understanding of supply chain planning concepts and the ability to lead by example, communicate effectively, and analyze data efficiently are essential qualities for success in this position. At o9, we value team spirit, transparency, and continuous communication across all levels, fostering a collaborative and supportive work environment. In return, o9 Solutions offers a competitive salary and benefits package, a high-growth entrepreneurial culture free from corporate politics, and a supportive network of colleagues dedicated to your professional development. You will have the opportunity to work in an international environment, participate in fun after-work activities, and enjoy healthy snacks and beverages provided by the company. Emphasizing work-life balance and team camaraderie, o9 Solutions is committed to creating a diverse and inclusive workplace where innovation and teamwork thrive. As an equal-opportunity employer that values diversity and inclusion, o9 welcomes applicants from all backgrounds to join our mission of driving 10x improvements in enterprise decision-making through AI-powered management. With a global presence and a strong commitment to creating lasting value for our clients, o9 Solutions offers an exciting and rewarding opportunity to be part of a dynamic and innovative team.,

About The Role 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 | Accenture Qualification Experience: Minimum 5 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field

Locations : Gurgaon | Bengaluru Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a part of BCG X A&A team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support.You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. You're Good At Working with case (and proposal) teams: Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities Defining and explaining expected analytics outcome; defining approach selection Delivering original analysis and insights to case teams, typically owning all or part of an analytics module and integrating with case teams Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing document Team requirements Contributes to team's content & IP development Imparts technical trainings to team members and consulting cohorts Technical skills: Must have excellent command over various operation research techniques and related approaches such as: Mathematical programming such as Linear/Non-Linear Programming, Mixed Integer Programming, Metaheuristic techniques and Stochastic modelling Excellent in Programming Language such as Python Knowledge of some of the following tools would be considered a plus CPLEX/Gurobi & AIMMS , Alteryx Functional skills Working experience in building supply chain models such as: Production planning and Queuing, Inventory Optimization, Resource allocation, Routing optimization, Production planning Communication skills: You should be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication. Analytical skills : You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required. What You'll Bring Bachelor/Master's degree in a field linked to Operations Research, Industrial engineering, statistics or economics, applied mathematics, computer science, or related field required; advanced degree preferred At least 1-6 years of relevant industry work experience providing analytics solutions in a commercial setting Prior work experience in a global organization, preferably in a professional services organization in data analytics role #BCGXjob Who You'll Work With You will report to the Data & Analytics Manager - X Delivery, and you will work closely with the case teams on client Project Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Locations : Gurgaon | Bengaluru Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a part of BCG X A&A team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support.You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. You're Good At Working with case (and proposal) teams: Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities Defining and explaining expected analytics outcome; defining approach selection Delivering original analysis and insights to case teams, typically owning all or part of an analytics module and integrating with case teams Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing document Team requirements Contributes to team's content & IP development Imparts technical trainings to team members and consulting cohorts Technical skills: Must have excellent command over various operation research techniques and related approaches such as: Mathematical programming such as Linear/Non-Linear Programming, Mixed Integer Programming, Metaheuristic techniques and Stochastic modelling Excellent in Programming Language such as Python Knowledge of some of the following tools would be considered a plus CPLEX/Gurobi & AIMMS , Alteryx Functional skills Working experience in building supply chain models such as: Production planning and Queuing, Inventory Optimization, Resource allocation, Routing optimization, Production planning Communication skills: You should be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication. Analytical skills : You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required. What You'll Bring Bachelor/Master's degree in a field linked to Operations Research, Industrial engineering, statistics or economics, applied mathematics, computer science, or related field required; advanced degree preferred At least 1-6 years of relevant industry work experience providing analytics solutions in a commercial setting Prior work experience in a global organization, preferably in a professional services organization in data analytics role #BCGXjob Who You'll Work With You will report to the Data & Analytics Manager - X Delivery, and you will work closely with the case teams on client Project Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Company & Culture: Bellatrix Aerospace is a space transportation company developing new age technologies that shape the future of our industry. We specialize in the development and production of propulsion systems and in-orbit transportation solutions. Our work has won two National Awards and backing of the government and many marque investors. More details of the company are available on – https://in.linkedin.com/company/bellatrix-aerospace At Bellatrix, we strive to create an environment that rewards creativity, performance and perseverance. At the same time, we also understand that failures are stepping stones to success on a journey to create something that never existing. In other words, our culture is fueled by intellectual curiosity, and our team takes pride in creating technologies that impact India and the world, growing together and achieving their goals each day. Location: Bengaluru, Karnataka Type: Full-Time Job Summary We are seeking a skilled Astrodynamics Engineer to join our team, specializing in the design, analysis, and optimization of satellite orbits. The ideal candidate will be responsible for conducting advanced orbital mechanics simulations, optimizing orbital trajectories, and leveraging state-of-the-art tools for mission planning and analysis. Job Responsibilities ∙Design and analyse satellite orbits and model relevant manoeuvres for a variety of missions, including LEO, MEO, GEO, and interplanetary trajectories. ∙Develop and optimize orbital transfer strategies, station-keeping manoeuvres, and end-of-life de-orbit planning. ∙Perform high-fidelity simulations of satellite missions using self-programmed algorithms and trajectory models required for FoV studies, illumination and energy balance as dictated by the requirements of GNC, Power and Thermal subsystems. ∙Collaborate with systems engineering teams to integrate orbital designs into mission architectures. ∙Conduct trade studies to evaluate mission scenarios, orbit selection, and propulsion needs. ∙Generate detailed reports and visualizations of mission analyses to support decision- making in the mission operations of the spacecraft. ∙Stay updated on emerging trends in astrodynamics, orbit optimization algorithms, and mission design techniques. Qualifications Education: ∙ Master’s degree in Aerospace Engineering, Astrodynamics, Physics, Mathematics or a related field. A Ph.D. in the relevant field is a plus. Technical Skills: ∙Strong expertise in orbital mechanics, including advanced perturbation theory, multi- body dynamics, and relative motion. ∙Proven experience in orbit optimization techniques, such as low-thrust trajectory design, optimal control theory, delta-v minimization, and constellation management. ∙Proficiency in using simulation tools such as STK (Systems Tool Kit) , NASA's GMAT (General Mission Analysis Tool) , Freeflyer, MATLAB , Python , or equivalent. ∙Familiarity with numerical optimization libraries (e.g., SciPy, CPLEX, or Gurobi) and astrodynamics-specific toolkits (e.g., Orekit or Poliastro) is highly desirable. Experience: ∙2-8 years of hands-on experience in orbit simulation, mission analysis, optimization or related fields. ∙Demonstrated ability to develop custom scripts and workflows for mission-specific requirements. ∙Experience with spacecraft subsystems and their impact on orbit design (e.g., propulsion, power, thermal). Soft Skills: ∙Strong analytical and problem-solving skills with attention to detail. ∙Excellent communication skills to present technical results effectively. ∙Ability to work collaboratively in multidisciplinary teams. Preferred Qualifications: ∙Experience with mission planning for CubeSats, small satellites, constellations or flight formation. ∙Familiarity with interplanetary mission design and deep-space navigation techniques. ∙Understanding of emerging technologies in autonomous spacecraft navigation and operations. This position offers the opportunity to play a critical role in shaping innovative satellite missions. If you're passionate about advanced orbital mechanics and mission design, we encourage you to apply.

Job Description The 55ip Quant team is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory & wealth management firms As a Research Analyst at JP Morgan Chase within the Asset and Wealth you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory & wealth management firms. If you have a background in statistical modules using software design constructs and tools, are motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects, this role could be a perfect fit for you. This position offers the chance to grow as an independent researcher. Job Responsibilities Involves in end-to-end research, development, and maintenance of investment algorithms Contributes to development and maintenance of optimization models, take part in building out the research and development framework Vets investment algorithmic results thoroughly and contributes to the research data platform design Investigates datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements Takes part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live Supports research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods Collaborates with technology teams to ensure appropriate requirements, standards, and integration Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Proficient in Python, Git and Jira Master’s degree in computer science, computational mathematics, or financial engineering Excellent mathematical foundation and hands-on experience working in the finance industry Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc. Strong communication (written and oral) and analytical problem-solving skills Strong sense of attention to detail, pride in delivering high quality work and willingness to learn An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.) Knowledgeable in SQL Preferred Qualifications, Capabilities, And Skills Professional experience with commercial optimizers (Gurobi, CPLEX) is an added advantage Able to shift gears and react quickly to timely requests Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics Understanding of LaTeX and/or RMarkdown is a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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

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.,

Job Description Job Description – Senior Functional Consultant - Demand Planning What you’ll do for us: Demonstrate extensive knowledge of industry best practices, business processes, o9’s solutions, technical architecture, and value proposition, focusing on Demand Planning. Ensure solution usability and uptime by resolving customer issues promptly, maintaining accuracy in data loads, and validating end-to-end workflows for demand forecasting. Identify design issues in the existing setup and collaborate with other o9 consultants to address demand planning-specific business problems. Serve as the primary point of contact for any platform-level upgrades, patches, or hot fixes related to demand planning modules. Configure the o9 platform based on post-go-live change requests and enhancements, focusing on demand forecasting to address deep operations and supply chain issues. Develop and execute workflow and data analytics test cases for demand planning. Manage bug tracking and resolution processes using support tools. Lead Super User and End User training sessions focused on global demand planning operations. Actively contribute to the improvement of internal processes and demand planning features based on customer feedback by working closely with the development and operations teams. What You’ll Have Experience: Minimum of 5-10 years of experience in implementing supply chain planning applications, with a significant emphasis on Demand planning. Proven expertise in leading multiple full lifecycle implementations across various planning platforms, with a focus on complex projects and strategic initiatives. Skills: A deep and comprehensive understanding of advanced supply chain planning concepts, including Demand Management, Supply Planning, Demand Forecasting, S&OP, and Inventory Optimization. Expertise in configuring and optimizing supply chain solutions to enhance business processes and operational efficiency. Technical Skills: Advanced proficiency in SQL, MDX, T-SQL, or similar database and query languages. Strong statistical, optimization, and simulation skills using tools like R, SAS, CPLEX, or similar. Familiarity with leading ERP and SCM applications, demonstrating an ability to understand and manipulate complex data models. Professional Attributes: Exceptional leadership skills, capable of mentoring junior consultants and leading project teams. Excellent communication skills, able to articulate complex solutions clearly and concisely to stakeholders at all levels.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. What you’ll do for us The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders. Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices. Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others. Ability to convert business logic to technical platform design, including knowledge of platform infrastructure. Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets. Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems. 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 to the client management. Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans. Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment. Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues. Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing. Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects. Plan, develop and deliver Super User and End User training, for a global user base. Mentor junior analysts to familiarize them with technical and business aspects of a project. What you’ll have... Education: Master’s Degree required with 1 year of experience or Bachelor Degree with 3 years experience. Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design & development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred More about us… With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law. More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

As an Operations Research Scientist at GreyOrange, you will play a pivotal role in designing, developing, and implementing advanced models and algorithms that enhance decision-making across various business functions. You will collaborate with cross-functional teams, including product development, engineering, to optimize processes, improve product performance, and solve complex problems using mathematical and computational methods. The ideal candidate has a deep understanding of optimization, statistical modeling, and machine learning, with a passion for solving real-world problems in a high-tech environment. Roles and responsibilities Develop and apply advanced operations research models, including optimization, simulation, and stochastic models, to solve complex business challenges. Work closely with engineering, data science, and product teams to integrate OR models into SaaS platforms, providing actionable insights to enhance product performance. Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, and nonlinear optimization) to drive business efficiency and effectiveness. Analyze large datasets and develop predictive models using statistical and machine learning techniques to improve decision-making processes. Develop mathematical models, simulations, or optimization algorithms to represent real-world systems or problems. Use techniques like linear programming, dynamic programming, queuing theory, or game theory to create models. Build simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics. Collaborate with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions. Collaborate with cross-functional teams such as engineering, product, and operations to implement solutions. Communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations. Communicate complex mathematical concepts and results to non-technical stakeholders in a clear and understandable manner. Monitor the performance of implemented solutions and refine models over time based on feedback and new data. Stay updated with the latest advancements in operations research, machine learning, and optimization, and apply best practices to develop innovative solutions. Document models, algorithms, and analytical processes for future reference and team knowledge sharing. Generate reports that summarize the outcomes of analyses and model performance. Requirements/Qualifications Master’s 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.

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.

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

Role Summary : 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.

ORMAE is hiring Lead OR Scientist Who we are: - ORAME is a successful Tech start-up founded and headed by Guinness World Record Holder Dr. Amit Garg an IIT Delhi Graduate who has won medals for India in Global Math Championships. ORMAE has 50+ Global Clients including 12+ $1B+ Clients. - ORMAE has helped them on 100+ Optimization & Data Science Projects across the globe including USA, Germany, UAE, Saudi Arabia, Japan & India. ORMAE is one of the very few Operations Research & Data Science consulting company, mainly focus in converting groundbreaking digital business transformation ideas into innovative Optimization and Data Science solutions. - Our services are extended to multiple areas like Supply Chain, logistics, health care, telecom, retail and many more. Requirement: - ORMAE is looking for a Lead OR Scientist with sound analytics background to deliver solutions for complex problems of our clients. -This is a Leadership Role; the candidate will be expected to Lead and mentor a Team of OR Scientists -One should have 6 plus years of working experience in designing and implementing complex/large scale optimization solutions. - The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred. - Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, AMPL - "AIMMS knowledge is preferred" Skills : -Should have mentored a Team of OR Scientists (OR) in the similar capacity - Ability to understand the business problem and convert it as a mathematical model is preferred. Exposure to Optimization & statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred. - Should have a scientific mindset and interest in Operation Research algorithms w.r.t routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management. -Effective Client Management skills Additional skills: - Programming experience in Python/Java/C#/ C++/R of the optimization algorithm is preferred. Education : Graduation or Masters in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a similar field from any premium institute. Perks : - Working with a young enthusiast team. - A unique experience: Working on analytics to solve real-time problems. - Working with reputed mathematician Dr. Amit Garg (Guinness World Record Holder) Flexible working hours, with a high potential OR Team. What Is in it For Me ; Candidate Benefits : - Meritocracy based Career Progression - Global Exposure - Livewire Environment - Great Technical cross training & mentorship - Happening start up - in the garden city of Bengaluru If you find the job description aligned with your expertise and interests, please share your updated CV at vidhya_v@ormae.com

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. For more information, click here. Role Reports To Director Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid About Kenvue What you will do 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.

Be part of something revolutionary At o9 Solutions, our mission is clear: we aim to be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform, the o9 Digital Brain, we integrate global enterprises" siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. The impact of our work extends beyond financial gains to also benefit the planet by reducing waste and driving better outcomes. We are seeking the brightest and most committed individuals to join us on this mission. As part of our team, you will be provided with a nurturing environment where you can contribute to something truly extraordinary and make a real difference for companies and the planet. What you'll have: - 5+ years of experience in implementing supply chain planning applications is a MUST. - Proficiency in Statistical, Optimization, and Simulation skills using software tools like R, SAS, CPLEX, or similar is desirable. - Deep understanding of supply chain planning concepts, including Distribution Planning, Master Planning, and S&OP. - Knowledge and training in databases such as SQL Server, MySQL, and proficiency in languages like SQL, MDX, T-SQL, or similar are desirable. - Proficient in using Microsoft Excel/PowerPoint for analysis and presentation. - Experience in planning solution deployment concerning business requirement determination, solution and process design decisions, best practices prescription, and value deliverables. - Experience in using agile methodology for delivering large-scale enterprise implementations. - Ability to work collaboratively with cross-functional teams distributed across locations and time zones. - Education: Masters Degree in Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering). What we'll do for you: - Competitive salary with stock options for eligible candidates. - Flat organization structure with a strong entrepreneurial culture and no corporate politics. - Opportunity to work with great people and have unlimited fun at work. - Possibility to make a difference in a scale-up environment. - Opportunity to travel onsite depending on project requirements. - Support network to learn from a diverse team. - Diversity in an international working environment. - Work-Life Balance. How the process works: - Apply by clicking the button below. - You'll be contacted by our recruiter for an initial discussion about o9 and the role. - During the interview phase, you will meet with technical panels for 60 minutes. - There will be 2 rounds of Technical discussions followed by a Hiring Manager discussion. - Our recruiter will notify you if you are the successful candidate. Join us at o9 Solutions, one of the fastest-growing technology companies globally, where we aim to digitally transform planning and decision-making for enterprises and the planet. Our culture is high-energy, pushing us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving digital transformations for major global enterprises including Google, Walmart, ABInBev, Starbucks, and others. Our headquarters are in Dallas, with offices in various locations around the world including Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore, Munich, and Toronto.,

Job Summary: We are seeking an experienced professional with strong proficiency in C programming and a background in Operations Research (OR) and/or optimization. The ideal candidate will design, implement, and optimize algorithms to solve complex business and engineering problems, leveraging advanced mathematical and computational techniques. Key Responsibilities: Design, develop, and maintain high-performance software solutions using C. Formulate and implement optimization models (linear, integer, mixed-integer, nonlinear, etc.) for real-world problems. Collaborate with cross-functional teams to gather requirements, understand domain challenges, and deliver robust solutions. Analyze, benchmark, and optimize existing algorithms for efficiency and scalability. Apply operations research techniques such as mathematical programming, heuristics, and metaheuristics to problem-solving. Document code, develop unit tests, and follow best practices in software development. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, Operations Research, Applied Mathematics, or related field. Strong programming skills in C, including experience with data structures, algorithms, and memory management. Solid understanding of OR methodologies such as optimization modeling, simulation, and analytical problem-solving. Experience with optimization libraries/tools (e.g., CPLEX, Gurobi, COIN-OR) and/or developing custom solvers in C. Ability to translate complex problems into computational models and deliver efficient solutions. Proficiency in debugging, performance tuning, and code optimization. Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Preferred Skills: Experience with other programming languages (Python, C++, Java) for prototyping or integration. Knowledge of mathematical modeling languages (AMPL, GAMS) or familiarity with solver APIs. Experience in industries such as logistics, finance, energy, or telecommunications where OR is applied. Familiarity with parallel computing, multi-threading, or high-performance computing frameworks.

Notice Period - Immediate Joiner to 30 Days Location - Mumbai / Pune / Bangalore / Delhi / Chennai Experience - 7+ Years Job description Lead the complete lifecycle of a project from design to deployment of o9 solutions to customers across industries and geographies Effectively map the business requirements into o9 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 desirable Deep understanding of supply chain planning concepts including Demand Planning, IBP, 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 wrt to business requirement determination, solution and process design decisions, best practices prescription and value delivery 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 we ll do for you: Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment Opportunity to travel onsite in specific phases depending on project requirements Support network: Work with a team you can learn from every day Diversity: We pride ourselves on our international working environment Key Skills Process Design Operations Research Supply Chain Planning Business Analytics

Kenvue is currently recruiting for a: Assistant Manager, 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: Sr. Manager - DTO Strategy & Operation 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. Lead Data Scientist This position reports to Manager, Data Science and is based at Bangalore, India. Role reports to: Manager, Data Science Location: Bangalore, India or Hybrid What you will do: The Assistant Manager, Data Science will work to deliver Optimization solutions to cross-functional Supply Chain teams. This individual will work with subject matter experts to deeply understand business context, key business questions, and opportunities. They will then collaborate with other teams within the Digital Transformation Office including Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, and ML Ops) 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 hypotheses through the discovery phase. They will also have excellent written and communications skills to report back findings in a clear, structured manner. Key Responsibilities Mathematical Modeling and Optimization: Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems 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. 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 Scientists, Business Analysts, and Project Managers to ensure that product is tested and deployed on time. Research and Innovation: Stay up to date on 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 Required Qualifications: Bachelor of Science or Bachelor of Engineering at a minimum with specialization in Industrial Engineering, Operations Research, Management Science or related field 6 – 8 years of total work experience, with at least 4years of 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. Desired Qualifications: Master's in industrial engineering, Operations Research, or Management Science Experience working in one or multiple supply chain functions If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

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

Job Title: 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 #Straivejob