302 Operations Research Jobs - Page 6

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems. At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with majority of our staff based in program countries. In India, CHAI works in partnership with its India registered affiliate William J Clinton Foundation (WJCF) under the guidance of the Ministry of Health and Family Welfare (MoHFW) at the Central and States levels on an array of high priority initiatives aimed at improving health outcomes. Currently, WJCF supports government partners across projects to expand access to quality care and treatment for HIV/AIDS, Hepatitis, tuberculosis, COVID-19, common cancers, sexual and reproductive health, immunization, and essential medicines. Learn more about our exciting work: http: / / www.clintonhealthaccess.org About the Project: India is at a pivotal point in its journey to eliminate malaria. With a national commitment to end malaria by 2027 - three years ahead of the global target under SDG 3.3 - the country must now confront challenges in its high-burden regions. Among these, Gadchiroli in Maharashtra stands out for its persistent transmission and contributes to over half of the states malaria cases. Recognizing Gadchirolis pivotal role, the Government of Maharashtra has launched a comprehensive malaria elimination initiative - Malaria Mukt Gadchiroli Abhiyan. Chaired by the Chief Minister, a Special Task Force comprising multiple non-profit organizations under the leadership of the CEO, Zila Parishad, drives this mission-mode campaign. WJCF has been invited to institute a Program Management Unit (PMU) for a period of three years to manage and coordinate the activities as per the Action Plan and align interventions of partners and research institutes with the Operational Plan for Malaria Mukt Gadchiroli. The Malaria Mukt Gadchiroli project is a pioneering initiative addressing critical gaps in malaria elimination strategies within high-burden districts, with a special emphasis on community-based interventions and intersectoral coordination. Planned to be implemented across Gadchiroli district over three years, this comprehensive malaria elimination project aims to impact the entire population through an integrated service delivery model that leverages existing health systems, community health workers, and multi-partner collaboration. Marking a significant milestone in Maharashtras malaria elimination efforts while focusing on evidence-based strategies, the project focuses on strengthening local health systems and implementing innovative vector control measures. Additionally, it incorporates robust monitoring and evaluation components, amplifying its role in advancing malaria elimination in alignment with national health priorities and international best practices. Position Summary: WJCF is seeking a skilled and detail-oriented Data and Program Analyst to join the Program Management Unit (PMU) for the Malaria Mukt Gadchiroli Abhiyan, based at the district headquarters in Gadchiroli. The primary objective of this role is to strengthen evidence-based decision-making and monitoring by managing surveillance data, generating analytics, and developing real-time visualization tools. The analyst will be responsible for cleaning, analysing, and validating data from platforms such as IHIP, DVDMS, and LLIN tracking systems. Work closely with the project Manager and district team and develop interactive dashboards, prepare performance reports and scorecards, and support the design and roll-out of the EWARS and alert response system. The role will also involve contributing to operational research and creating data-driven content for program reviews, donor reports, and technical presentations. Responsibilities Clean, analyse, and validate data from IHIP, DVDMS, and LLIN tracking systems. Develop and maintain dashboards and reports for district and block-level performance indicators. Support the design and roll-out of EWARS and alert response systems. Generate data summaries, fact sheets and score cards for monthly/quarterly reviews and contribute to operational research. Train field and facility staff in data entry, data quality assurance, and interpretation for action. Provide inputs for donor reports, program learning documents, and technical presentations. Qualifications Master s in Biostatistics, Epidemiology, Data Science, Public Health, or relevant field. Minimum 3-5 years of experience in program analytics or monitoring & evaluation roles. Proficient in MS Excel, Power BI, Tableau, or similar software. Experience with health surveillance platforms (IHIP/DVDMS) is desirable. Preferred: Working knowledge of Marathi is desirable. Strong analytical and communication skills, with the ability to present data visually and narratively. Last Date to Apply: 1st August, 2025

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. 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.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. 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.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. 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.

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.

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.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. 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. 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.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. 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. 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. 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.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. 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.

At TransUnion, we strive to build an environment where our associates are in the driver s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you ll work with great people, pioneering products and cutting-edge technology. Requirements: Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline 2-5 years practical experience working as a data scientist applying machine learning to real-world problems Communication skills to articulate technical aspect of model development to internal and external customers Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, KNN, Gradient Boosting, etc. Experience with common data science toolkits such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, etc. Proficiency in using query languages such as SQL Familiarity with applied statistical concepts such as distributions, statistical testing, regression, regulation Logical, evidence-based problem solving and critical thinking skills Team focused attitude and evidence of supporting project team members Preferred: Working familiarity with cloud computing environments Impact Youll Make: The Data Scientist will help us improve our modeling processes and develop highly accurate, explainable and replicable modeling solutions for our clients. The primary focus will be in applying machine learning, predictive analysis, data mining techniques, and in building and training high quality models. Specific tasks may include mining transaction descriptions, optimizing/automating our modeling pipeline using AWS based infrastructure from data gathering/manipulation, leveraging existing/new machine learning techniques and creating model documentation. The position will entail: Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs Researching and developing new approaches, keeping ones skills up to date Testing new methods of statistical analysis, software, and data sources for continual improvement of quantitative solutions, implementing as needed Processing, cleansing, and verifying the integrity of data used for analysis Performing ad-hoc analysis and presenting results clearly Communicating results and ideas to key decision makers Creating clear and easy to understand documentation for models Presenting analysis, progress reports and results to internal and external customers Collaborating with a Team Lead to develop technical/business approaches and new or enhanced technical tools Participating in collaboration for implementation Completing all responsibilities as outlined on annual Performance Plan Completing all special projects and other duties as assigned Must be able to perform duties with or without reasonable accommodation #LI-SG1 #LI-Hybrid #LI-Remote This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Analyst, Data Science and Analytics

Proven knowledge of coding in Python Advanced knowledge of regression & linear optimization (Python based, relevant libraries: pandas, numpy, scikit-learn, or-tools) 2+ years of working experience in data analytics with proven project/solution track record Skills in data analysis & visualization (Python based, relevant libraries: pandas, numpy, plotly) Experience as Operations Research analyst or similar: worked with optimisation models (e.g. Integer and Linear Programming) in the past Qualifications : Bachelors degree or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field Self driver attitude: Execute tasks self-responsible. Can-do and get-stuff-done attitude is crucial Good communications skills, able to effectively discuss project requirements with different hierarchy levels and disciplines (engineering, business, etc.) Fluent English Special Instructions: Interview Mode : Virtual Work Mode : Hybrid(Bangalore) Duration of Contract : 12 Months Engagement type: Open for both options C2H (Contract-to-Hire) / One-Time Hire

Route to market Analytics Consulting (Sales, Distribution, B2B, E Commerce, Trade promotion etc) for Fortune 500 CPG and Retail clients globally Formulate the Analytics strategy, vision, and execution plan for RTM/Sales transformation for CPG and Retail companies, leveraging Digital and technology. Conceptualizing and designing analytics services in the RTM area for CPG and Retail companies. Lead teams to deliver Route to market Analytics consulting projects for leading CPG and Retail clients. Aid in Business Development and shaping proposals in the RTM area. Build Relationships with Industry RTM leaders and help build RTM capability/Practice at Fractal Experience of deploying RTM Analytics applications with both Traditional Trade and Modern Trade markets. Other skills /experience (preferred) would be Digital Commerce, RGM, Supply Chain and product management principles. Success Profile: - You have a demonstrated track record of leading and delivering RTM analytics engagements within new and existing CPG/Retail accounts for pure play analytics services, while consistently achieving or exceeding quarterly and annual goals. You have strong commercial acumen that you can execute on to manage and grow revenue. You are an effective and credible storyteller with a strong ability to map client challenges to internal capabilities and can link those conversations back to business outcomes. You have excellent written, verbal, and formal presentation skills allowing you to engage client audiences ranging from technical implementers up through Business and Technology C-levels. You thrive in a collaborative team atmosphere, while defining issues/hypotheses, performing complex analysis, and assisting with preparation and recommendations of solution alternatives. You have demonstrated experience of leading large teams located globally, and are seen as a natural people leader, while effectively managing account growth goals. Qualifications And Skills M.B.A. or Post graduation in a relevant field (Business Analytics, Operations Research, Economics) Overall experience of 8-10 years preferred with deep knowledge on RTM and Sales Analytics Proven track record and desire to drive client relationships and sales activities and, over time, drive account/practice growth Excellent communication skills, both oral and written Ability to think on his/her feet and engage with both the business and analytical community Comfortable with ambiguity in a cross-functional environment Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment Self-driven individuals with an appetite for rapid career growth and a can-do attitude are most likely to succeed in this role

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 III 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 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 empowe'red 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. On-site Protocol 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 we'll-being and the we'll-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.

Job Title: Komodo Analytics - Data Analyst Work Location: Manyata Tech Park, Bangalore, India Work Schedule: Three days on-site, two days remote (3/2) Career Level: C3 - Individual Contributor position. Experience: 3-6 years of experience. Introduction to role Are you ready to dive into the world of data and make a tangible impact? As a Data Analyst at Komodo Analytics, youll be at the forefront of driving strategic and operational excellence within the Commercial Organization. This hands-on role involves acting as a proactive internal consultant to a specific brand team, where youll support and design commercial solutions that empower data-driven decisions. Your expertise in syndicated and custom, primary and secondary data will be crucial as you collaborate closely with Commercial Operations business partners. Accountabilities In this dynamic role, youll be responsible for providing reporting and analytical expertise that shapes the strategic direction of the organization. Youll leverage your skills to analyze complex data sets, extract meaningful insights, and communicate these findings effectively to drive informed decision-making. Your ability to manage large transactional databases and derive actionable insights will be key in supporting the brand teams objectives. Essential Skills/Experience Quantitative bachelor s degree from an accredited college or university is required in one of the following or related fields: Engineering, Data Science, Statistics, Applied Math, Computer Science, Operations Research, Management Science, Economics. Good communication and business interaction Good years of recent experience and proficiency with SQL Good working knowledge in data visualization tools (Qlik and Power BI) Experience in MS Office products - Excel and PowerPoint skills required. Good knowledge in IQVIA or Komodo data platform (preferably Prism or Sentinel) Good experience in Pharmaceutical / Healthcare analytics or secondary data analysis. Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets. Good in analytical thinking Expertise in managing and analyzing a range of large, secondary transactional databases is required. Should have Excellent Analytical, Problem-Solving ability. Should be able to grasp new concepts quickly. Ability to derive, summarize and communicate insights from analyses. Organization and time management skills Desirable Skills/Experience Strong interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Knowledge of AZ brand and science At AstraZenecas Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each others successes and take pride in giving back to our communities. Here, your career is more than just a path; its a journey to making a difference where it truly counts. Ready to make a difference? Apply now to join our team! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 27-Jun-2025 03-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. . Alexion participates in E-Verify.

Job Summary What you need to know about the role In this role, you will lead a workstream solutions for complex, ambiguous and high-visibility business challenges. You will set and execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams. Meet our team Our Marketing Analytics transformation is in full swing. We embarked on a path of transforming and building a world class Marketing Analytics Org recently. Our team helps to power PayPal s high growth Marketing organization by delivering actionable insights and business intelligence to Consumer Marketing Org for our 200+ million customers. Job Description Your way to impact You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy. You will have exposure and visibility to PayPal Sales, Product, Finance & Market Insights teams, as you work with them to create a holistic solution to Marketing problems. We are a team of entrepreneurial, enthusiastic, and client-focused members. Your day to day The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimisation. The candidate will also be responsible for delivering accurate , action driving recommendations to drive business performance and investment optimisation Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment Influence stakeholders to make business decisions in alignment with global measurement approaches What do you need to bring Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics 2 + years of experience in analytics, data science or management consulting or equivalent analytical and project management experience Hands on experience of Python, SQL & BigQuery Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams Exceptional problem-solving skills, with strong ability to drive towards action and impact Experience in managing analytics projects from inception to delivery, including developing structured solutions Experience with visualizations, dashboards, and reports Experience with data modelling, machine learning algorithms, and data science techniques. Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses ** We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 20 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Please visit Fractal | Intelligence for Imagination for more information about Fractal Key Responsibilities: - Route to market Analytics Consulting (Sales, Distribution, B2B, E Commerce, Trade promotion etc) for Fortune 500 CPG and Retail clients globally Formulate the Analytics strategy, vision, and execution plan for RTM/Sales transformation for CPG and Retail companies, leveraging Digital and technology. Conceptualizing and designing analytics services in the RTM area for CPG and Retail companies. Lead teams to deliver Route to market Analytics consulting projects for leading CPG and Retail clients. Aid in Business Development and shaping proposals in the RTM area. Build Relationships with Industry RTM leaders and help build RTM capability/Practice at Fractal Experience of deploying RTM Analytics applications with both Traditional Trade and Modern Trade markets. Other skills /experience (preferred) would be Digital Commerce, RGM, Supply Chain and product management principles. Success Profile: - You have a demonstrated track record of leading and delivering RTM analytics engagements within new and existing CPG/Retail accounts for pure play analytics services, while consistently achieving or exceeding quarterly and annual goals. You have strong commercial acumen that you can execute on to manage and grow revenue. You are an effective and credible storyteller with a strong ability to map client challenges to internal capabilities and can link those conversations back to business outcomes. You have excellent written, verbal, and formal presentation skills allowing you to engage client audiences ranging from technical implementers up through Business and Technology C-levels. You thrive in a collaborative team atmosphere, while defining issues/hypotheses, performing complex analysis, and assisting with preparation and recommendations of solution alternatives. You have demonstrated experience of leading large teams located globally, and are seen as a natural people leader, while effectively managing account growth goals. Qualifications And Skills M.B.A. or Post graduation in a relevant field (Business Analytics, Operations Research, Economics) Overall experience of 8-10 years preferred with deep knowledge on RTM and Sales Analytics Proven track record and desire to drive client relationships and sales activities and, over time, drive account/practice growth Excellent communication skills, both oral and written Ability to think on his/her feet and engage with both the business and analytical community Comfortable with ambiguity in a cross-functional environment Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment Self-driven individuals with an appetite for rapid career growth and a can-do attitude are most likely to succeed in this role

Location: Mumbai Working Mode: Hybrid Duration: 6 months Job Description: We are looking for a proactive and detail-oriented Content Operations & Research Intern to support our team in managing digital assets, researching content ideas, and generating creative outputs using AI tools. This role combines organisation, curiosity, and creativity to help streamline our content pipeline and support the creation of engaging, child-friendly content. Key Responsibilities: Organize and maintain spreadsheets (Google Sheets/Excel) to track content production, asset status, and metadata. Manage and structure a digital asset library, including images, audio files, and reference materials. Conduct in-depth research on topics related to early learning, storytelling, child psychology, voice styles, culture study, and educational trends to support content planning. Study global and local content trends, popular themes among children, and culturally relevant ideas for use in content creation. Benchmark competitors and reference content from childrens media apps, educational products, and AI-based platforms. Summarize research findings into actionable insights and content suggestions for the creative team. Use AI tools to generate basic audio, voiceovers, and image content. Support content uploads into internal tools or CMS platforms. Collaborate with cross-functional teams, including content creators, designers, and linguists. Requirements: Strong research and analysis skills with the ability to synthesize ideas clearly. Detail-oriented with strong organizational and documentation habits. Familiarity with Google Sheets, Google Drive, and creative tools like Canva or Figma. Interest or experience in using AI tools. Ability to work independently, manage time effectively, and stay curious.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field 5 years of work experience using analytics to solve product or business problems, coding (e g , Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e g , Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data About The Job At Google, data drives all of our decision-making Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior As an analyst, you do more than just crunch the numbers You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings Identifying the problem is only half the job; you also figure out the solution The team's mission is to protect Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse As a Data Scientist on the App Safety Engineering (ASE) team, you will work with multiple stakeholders across product, engineering, and operation teams to conduct data research, build methodologies into production systems to drive ASE key decisions and development You will be responsible for translating data into recommendations and implementing process improvements Responsibilities Work with datasets, solve non-routine analysis problems, and apply quantitative methods as needed Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners Collaborate with stakeholders in Product Management, Engineering, and Operation teams to define questions, objectives, and metrics, identify and implement quantitative methods to answer those questions Develop, own, and evolve methodologies and frameworks providing a source of truth measures for the organization Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Job Title: Manager - Panel Business Key Responsibilities 1. Panel Ownership & Lifecycle Management Own the complete panelist journey including acquisition, activation, engagement, retention, and reward redemption. Drive survey completes and maintain a high participation rate across segments. Minimize churn and panel fatigue by implementing reactivation and engagement strategies. Manage incentive models aligned with budget and revenue goals, ensuring fraud-free reward processes. 2. Strategic Engagement & Retention Initiatives Design and implement gamification and loyalty/referral programs to boost engagement. Lead survey UX initiativesoptimize for mobile-first, low-drop-off experiences. Continuously capture and act upon panelist feedback and sentiment data. 3. Performance Monitoring & Optimization Track and analyze key panel health and business performance metrics. Optimize survey allocation to improve completion efficiency and user relevance. Implement fraud detection, identity verification, and quality controls. Reduce Cost per Complete (CPC) while enhancing revenue outcomes. Core Responsibilities Breakdown Panel Acquisition & Activation Collaborate with marketing to strategize and execute panelist acquisition campaigns. Optimize sign-up flows, landing pages, and first-touch experiences. Ensure smooth onboarding and encourage fast survey participation post-signup. Survey Performance Optimization Collaborate with Research Operations and deliver survey invites that are timely, relevant, and personalized. Partner with operations to manage quotas and panel alignment to survey supply. Enhance panelist satisfaction by improving survey structure and flow. Engagement & Retention Campaigns Collaborate with Grwoth Team and implement gamification mechanics and periodic engagement challenges. Reactivate dormant users through automated, targeted campaigns. Monitor retention trends and address churn at its root. Incentive & Cost Strategy Design reward models that balance motivation with business ROI. Monitor redemption flows to ensure security and user satisfaction. Align incentive spend with revenue targets. Analytics & Experimentation Develop dashboards and reports on panel KPIs and business impact. Work with analytics teams for behavioral insights and segmentation. Run A/B experiments on engagement strategies and reward models. Cross-Functional Collaboration Marketing: for acquisition and communication strategies. Finance: for incentive budgeting and profitability reviews. Operations: for survey quota planning and panel match rates. Product & Tech: for platform enhancements and feature rollouts. Key Performance Indicators (KPIs) Panelist Growth Rate: Signups, activations, and qualified user base expansion. Survey Completion Rate (%): Completed vs. invited surveys. Churn Rate: Active vs. dormant/inactive panelists. CPC vs. Revenue: Cost per complete and return per panelist. Engagement Index: Participation in gamified tasks and loyalty schemes. Redemption Metrics: Redemption rates and fraud incidents. Panelist NPS & Sentiment: User satisfaction and loyalty trends. Who You Are A strategic thinker with an analytical mindset and strong business acumen. Proven experience in digital panel management, online research, healthcare panel management or audience engagement roles. Skilled in working across teams and managing multiple stakeholder needs. Passionate about delivering exceptional user experiences through data and innovation. Preferred Qualifications 6+ years in panel management, preferably healthcare, digital consumer research or CRM roles. Strong understanding of incentive modeling, gamification, and retention mechanics. Experience with analytics tools (e.g., Tableau, Google Analytics, SQL) is a plus. Excellent communication and collaboration skills. Summary This is not just a panel management roleits a business leadership position embedded in data, user experience, and operational excellence. If you're looking to shape the future of survey-based research while delivering direct business impact, this role offers the platform and ownership to do exactly that.

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. Role overview : As a Sr Product Ops Analyst, you will be responsible for creating measurements, driving enhancements and insight generation by identifying areas of improvement in products through exploratory data analysis monitoring and tracking products and collaborating with Product Owners to identify and fix product issues. This role will be a key component in the execution of Products goals and objectives. As a Sr Product Ops Analyst, you will build critical reports for product, perform data analysis to identify new opportunities, collaborate with Data Engineering and Data Science teams on setting up new process/jobs, activate new models, own and maintain datasets and dashboards for the product. You will build and monitor the required systems that will be used by both Product team and stakeholders to keep track of key product and business metrics. You will also need to analyze key trends to identify potential product issues and improvement to the product. It is critical that you are comfortable with a test and learn mindset to achieve this. You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. Primary function Responsible for driving enhancements and insight generation by identifying areas of improvement in products through exploratory data analysis. Monitoring and tracking products and collaborating with Product Owners to identify and fix product issues. Principal duties & responsibilities Build critical reports specific to existing data to monitor critical metrics. Perform data analysis to identify new opportunities to improve overall metrics. Owning and driving the complicated problems, breaking them down into smaller tasks and leading acting as a team lead and mentoring team members from technical standpoint. Collaborating with Data Engineering and data science teams on setting up new process/jobs, owning and maintaining the datasets & dashboards. Support in creating forecasts, designing inventory optimization strategies and leverage technology to ensure our inventory is available at the right time. Partner with cross functional teams such as IPC product teams, Inventory Management, Transportation, and S&OP to execute key production levers and supporting Middle Mile positioning to manage fulfillment network. Responsible for helping in creating and leveraging projected future product movement plans that helps on understanding how a change to key inputs like forecast, presentation and Leadtime. Responsible to build and monitor the system that Inventory managers will use to get recommended order quantities, implement automatic ordering, decide how much inventory to buy, when to bring inventory into the target network, and where to position it. Provide solutions to help resolve inventory management and supply chain operations frictions. It will be critical that you are comfortable with ambiguity and utilize a test and learn mindset with other core GSCL teams to inform and develop our broader positioning roadmap. Analyze underlying trends to identify potential product issues and improvements to the existing product features. Support key item/brand launches from fulfillment by participating in preparation activities and ensuring systems do have any critical defects. Support peak volumes by executing key tasks defined specific for peak season. Job requirements: Four-year degree with 4-8 years experience in math, statistics, business, operations research, or supply chain and/or equivalent experience in an operations research, statistics, or supply chain analysis/operations business environment. Experience with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience Ability to create/change/execute SQL queries from analytic datasets and analyze results Experience and passion for using data to explain or solve complex business problems and influence invention of new systematic and operational processes Ability to communicate findings clearly and concisely Experience utilizing problem solving and analytical skills Ability to adjust priorities to the ever-changing needs of the business End to end understanding of Digital fulfillment processes Desired requirements: R and Python Experience in retail (stores or headquarters) Experience as an analyst or manager in Inventory Management, Inventory Management Operations, Planning or similar. Proven experience achieving results by leading, partnering, and influencing others Aptitude and familiarity with the design and use of complex logistics and/or reporting software systems. Useful Links: Life at Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. 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.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. 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 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 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!.