302 Operations Research Jobs - Page 7

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics PhD Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. PhD in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics Msc Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. Msc in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics Msc Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. Msc in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with Phd degree to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics PhD Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. PhD in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with Phd degree to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment.

We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics PhD Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. PhD in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking Mathematics Msc Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. Msc in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities - Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers. Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications - 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Summary: The Data Scientist I will play a crucial role in supporting operational analytics across Global Product & Supply (GPS) to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist I should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world. Roles & Responsibilities Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards. Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis. Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies Experience with developing predictive & prescriptive machine learning / artificial intelligence models for classification, regression and time-series problems. Experience with MLOps principles and tools (MLflow, Kubeflow, or similar MLOps platforms) is a plus. Solid understanding of digital analytics tools and platforms and version control. Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations. Experience Bachelors or Masters degree in an analytical, engineering, operations research or scientific discipline. Proven experience (typically 0-3 years) in a data and analytics role, including direct development experience. Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically, Python, advanced SQL, AWS, GitHub, Tableau) Experience in the GPS/biopharma industry a plus. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Summary: The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist I should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world. Roles & Responsibilities Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards. Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner. Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently. Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis. Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation. Provide training, guidance, and mentorship to junior analysts and team members when required. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions Agile problem-solving ability and desire to learn new things and continuously improve Proficiency in statistical analysis techniques and methodologies. Strong project management skills and the ability to work independently or as part of a team. Solid understanding of digital analytics tools and platforms and version control. Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations. Experience Bachelors or Masters degree in an analytical, engineering, operations research or scientific discipline. Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience. Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau) Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus. Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus. Experience in the biopharma industry a plus. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Req ID: 324385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bangalore, Karn taka (IN-KA), India (IN). Title: Data & Analytics Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will: Hold a Bachelor s or Master s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with LLamasoft Supply Chain Guru, ToolsGroup SO99+, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges #LI-CDL

Duties and Responsibilities Predictive Modelling: Strategically develop and implement advanced predictive models to forecast key metrics such as sales performance, customer behavior, and operational efficiency. Data Analysis & Insight Generation: Expertly analyse complex datasets to uncover valuable patterns, trends, and correlations that inform and shape business strategies. Operational Optimisation: Utilize cutting-edge analytics to identify and capitalize on opportunities for enhancing operational processes, optimizing resource allocation, and driving cost efficiency. Commercial Insights: Provide insightful, data-driven recommendations to support commercial initiatives, including pricing strategies, market segmentation, and demand forecasting. Data Visualisation & Reporting: Design and produce clear, compelling visualisations and reports to effectively communicate findings and predictions to stakeholders, demonstrating excellent presentation skills. Collaboration: Partner closely with commercial, operational, and technical teams to understand business challenges and deliver actionable insights that drive success. Model Evaluation & Maintenance: Continuously monitor, validate, and refine predictive models to ensure their accuracy and relevance, staying abreast of industry advancements. Consulting Tenor: Serve as a knowledgeable consultant, leveraging domain expertise to guide and advise on best practices, ensuring alignment with business goals and strategies. Requirements 5+ years of relevant experience in business analytics, consulting that includes predictive analytics, financial planning, data science, or statistical modelling. Master s degree in Business Studies, Statistics, Operations Research or related Strong background in financial modelling Experienced in leading cross-functional teams, fostering data-driven decision-making across commercial, operational, and technical domains . Strategic Thinking: Ability to connect data insights with business growth strategies , aligning analytics efforts with organizational goals. Analytical & Problem-Solving: Strong capability in interpreting complex datasets, spotting patterns, and delivering actionable insights .

Job description Autocad Layouts Update documentation using Microsoft Word and Microsoft Excel Support, recognize, define, and solve problems/opportunities within the Factory Support of manufacturing process, including layout and concepts Review labor quotes versus actual times and implement process improvements where opportunities arise Review Engineering Change Orders (ECO) and provide feedback on labor impact of change Gain understanding of manufacturing process controls and the statistical applications associated Assist with Manufacturing Readiness Reviews (MRRs) Assist with recommendations as to what format Assist in determining facility requirements (floor space, utilities, ancillary equipment, ) for new processes or equipment, adhering to safety and ergonomic practices Desired profile of the candidate College student in pursuit of a Bachelors Degree Per UTC Internship Program requirements, student must have a GPA of 3.0 or higher Pursuing a Bachelors degree in Manufacturing, Mechanical engineering or related technical field The candidate must be pursuing a BS in Engineering, Industrial Engineering, Manufacturing, Operations Management and/or Operations Research Must be pursuing BSME/IE/Business Operations Management or equivalent degree MRP Proficiency required Qualification Typically a job would require a certain level of education.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Global Supply Chain and Logisticsat Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guests better, faster and more cost effectively than before across 1900 locations Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g. identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, Digital order Fulfillment planning, transportation resource planning, etc. As a Data Scientist in Digital fulfillment Planning space , you will have the opportunity to work with Product, Tech, and business partners to solve retail challenges at scale for our fulfillment network. Position Overview As a Senior Data Scientist at Target you will get an opportunity design,develop, deploy and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs.In this role as a Senior Data Scientist, you will: Develop a strong understanding of business and operational processes within Targets Supply chain. Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs. Analyze large datasets for insights leading to business process improvements or solution development. Work with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving digital fulfillment network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Ensure your Target Career Profile is up to date before applying for a position. As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Haves: We are looking for candidates who meet the following criteria: Bachelors/Masters/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field. 3+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial). Strong proficiency in Python and Spark for developing and deploying optimization-based solutions. Solid understanding of operations research techniques and their application in real-world business problems . Demonstrated experience working on end-to-end solution delivery , preferably with production-grade implementation. Strong verbal and written communication skillsable to translate technical detail into business insight, and vice versa. Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity. Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams. Preferred Experience: Experience building large scale optimization models/ ability to build models with smart heuristic solutions Familiarity with supply chain or e-commerce fulfillment data and business processes. Experience working with large datasets. Experience deploying solutions at scale for business impact. Background in clean code practices, version control (Git), and collaborative development environments. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Have: We are looking for candidates who combine rigorous machine learning skills with a decent grasp of optimization and applied math. You should have: Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative discipline. 4+ years of experience working across ML and optimization domains , ideally in dynamic, real-world problem spaces. Strong coding skills in Python and experience working with Spark or distributed data frameworks. Hands-on experience with ML modeling pipelines , from data ingestion and feature engineering to model development, evaluation, and deployment. Knowledge of OR techniques (e.g., LP/MIP) and how to integrate them with ML systems. Strong problem-solving skills with a track record of delivering solutions to complex, ambiguous business problems. Ability to independently own and drive projects end-to-end in a collaborative environment. Excellent communication skillsboth technical and strategicacross engineering and business teams. Preferred Experience: Experience with MLOps frameworks and practices (e.g., model versioning, CI/CD for ML, monitoring). Exposure to supply chain, logistics, or fulfillment optimization problems. Experience working in a production-scale environment with high data volume and business-critical pipelines. Ability to build solution/ models that operate at low latency. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview: A role with Target Techs Data Science team means the chance to develop and manage state of the art machine learning algorithms that use data at scale to automate and optimize decisions. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Stores, Supply Chain Optimization, and Network Planning rely on. Every Scientist on Targets Data Sciences team can expect modelling and data science, software/product development of highly performant code for performance, and to elevate Targets culture and apply retail domain knowledge. Team Overview: Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview: As aLead Data Scientist, youll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scope of your role by defining solutions and beginning to identify problems to solve. You will contribute to Data Sciences and Targets culture by modeling and contributing to the ways we work. There are several ways to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, and machine learning. We will look to you to own design and implementation of an algorithmic solution (e.g., predictions, optimization or simulations), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. Youll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. Youll evaluate trade-offs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. Youll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the teams products/models. Youll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, youll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, youll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIts always changing! Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Operations Research, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About Team: Financial Planning and Analysis (FP&A) team works closely with the CFO, FP&A head, and all the other functions to enable and improve data-driven decision-making. The team enables financial planning, and allocation of funds, and uses structured problem-solving approaches along with a wide range of statistical/ operations research techniques to create productized solutions for business teams to consume. Role: We are seeking to hire a talented Finance Professional for the FP&A team. This role offers a wide spectrum of responsibilities spanning from Financial and strategic planning, dynamic resource allocation framework for growth and P&L sustainability, driving efficiency charters across the P&L line items,performance management, business analytics and benchmarking with external companies. Responsibilities: Prepare monthly, quarterly and annual financial plans to be executed. Hold guardrails forinvestment to maximize topline growth Develop financial model for planning, budgeting, variance analysis and performancemanagement Strategic Planning, AOP and LRP creation with thorough and detailed how-lists for topline andP&L line items Lead the MEC process with stakeholders from Business Finance and Controllership. Actionupon the key risks and opportunities with agility Identify opportunities for efficiencies across the org and partner with respective teams todevelop action plan to maximize the returns on investment for topline growth as well as costoptimization Leverage SQL to extract and manipulate financial data for analysis, Create and maintaindashboards and reports using SQL based tools Handle complex ad hoc request with a shorter turnaround time and supplement such requestwith appropriate analysis and insights for enabling business decision-making Assessment and dissemination of impact on business due to macro trends, benchmarking withnational and international peer companies to identify the growth and PL opportunities and bestpractices for implementation. Prepare insightful reports and presentations to communicate and disseminate financialperformance to senior leadership and other stakeholders Qualifications and Competencies MBA (Finance) from Tier 1 institute or Qualified Chartered Accountant with 3 to 5 yearsexperience in Business Finance or FP&A team Excellent analytical and critical thinking skills, demonstrated ability of problem-identification andsolving, detail-oriented with a strong commitment to accuracy Strong Command on SQL for data extraction, analysis and reporting. Proficiency in Python or R isdesirable Strong communication and presentation skills, both verbal and written, with proven ability topresent to the leadership team Ability to take ownership and work on multiple projects independently in a fast-paced environment " Who are we? Myntra is India s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

Amazon Ads is looking for a Research Science Manager with machine learning and deep learning background to build industry-leading technology for preventing ad fraud at scale. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative and accomplished research science manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? As an research science manager for Traffic Quality, you will lead a team of applied scientists, research scientists, data scientists and engineers to deliver to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business goals. Major responsibilities Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution. Learn continuously about new developments in machine learning and AI, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising * A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field * 5+ years of hands-on experience in big data, machine learning and predictive modeling * 3+ year people management and cross department functional experience * Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building * Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results * Strong communication and data presentation skills * Strong ability in problem solving and driving for results * Technical leader with 10+ years of exceptional, hands-on experience in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. * Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. * Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. * Strong publication record in international conferences on machine learning and artificial intelligence