302 Operations Research Jobs - Page 2

EliteRecruitments Hiring For Banking Branch Operations Executive Description A Branch Operations Executive in a bank oversees daily branch operations, ensuring efficiency, customer satisfaction, and compliance with regulations. This role involves managing staff, implementing policies, and achieving financial targets. They are also responsible for maintaining a positive environment, fostering customer relationships, Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,

Junior Market Research Consultant Permanent employee, Full-time Bangalore Does this sound like you? Do you have firsthand experience in designing and executing quantitative research? Would you consider yourself to have a high affinity for numbers and enjoy working with data in order to draw meaningful insights ? Are you naturally curious , comfortable to suggest idea s and can apply sound critical thinking skills to move towards a solution? Does the idea of working collaboratively in a fast-paced business whilst also having the autonomy to make decision s appeal to you? Sounds like you? Then join our Bangalore team! Why Join Us? We are seeking a Junior Market Research Consultant, referred to internally as an Analyst, to strengthen our project teams. In this position, you will l earn the ropes of how we successfully run our client projects and gain valuable experience in supporting all phases of a market research project. In turn, through exposure to a diverse range of projects and tasks, you will be developed to become a comprehensive and versatile market researcher with growth opportunities in our company. You will be collaborating with a team of experienced, skilled and curious project leads and method experts, each representing a wide background of academic disciplines. Join the team of Factworkers who answer the most critical and strategic research questions for Silicon Valley giants and rising stars. What Youll Bring Minimum of 1 years hands-on experience in a quantitative primary research role (agency or client side preferred) Successful completion of studies (i.e. Masters, PhD) in Business (i.e. Marketing, MBA), Social Sciences (i.e. Psychology) or a related field Experience in working with primary quantitative survey data, i.e. creating questionnaires, collecting primary data, cleaning/validating data and charting/visualizing results Knowledgeable in statistics and quantitative research methods A sound mathematical understanding to analyse complex data Skilled in using data analysis tools and software (SPSS, R etc.) Proficient in the use of Microsoft Office Suite and Google Workspace A proactive mindset and shows initiative, not afraid to ask questions and is naturally curious Ability to seek information, drive own learning path, quickly learn technical and complex processes and then apply these readily Strong communication skills with fluency in English (both spoken and written) What Youll Do Your overarching purpose is to support our team in the necessary phases of all projects. In addition, you will be challenged to individually execute on certain phases, in close collaboration with the project leader. This position will assist in all operational tasks to ensure the smooth and successful execution of our projects. This includes planning and implementing robust quantitative research for ad-hoc and tracking projects. A large focus of this role will be working very closely with the data in order to allow our projects leads to deliver compelling storied to our clients. This involve data analysis, interpretation and visualization, as well as reporting and conceptualizing the results for the client presentations. Benefits We provide a range of benefits to help our team perform at their very best: Flexible hours Hybrid work schedule (minimum of 3 days in-person presence required in our office located at HSR Layout, Bangalore) Ongoing training and development, both internal and external Regular team events Day off on your birthday Health insurance Youll find out more details on the Who we are Numbers are what we do and it s our people who make them count. Fact: Data means nothing without interpretation. You ve got to put numbers to work to make them matter. At Factworks, that s precisely what we do. We re a team of curious minds spread across three offices in Berlin, Germany, Bangalore, India, and Silicon Valley, U.S., all motivated by the drive to solve complex challenges through in-depth research and actionable insights. Each Factworker possesses unique expertise, but our true strength lies in how we unite these individual superpowers through close collaboration and continuous learning. Together, we answer the most critical and strategic research questions for Silicon Valley giants and rising stars, never forgetting to have fun along the way. Factworks is committed to a diverse and inclusive workplace. We promote equal opportunities regardless of gender, nationality, ethnicity, religion or belief, disability, age, sexual orientation and identity.

Schedule and set up surveys, specify sample requirements, and monitor field surveys. Oversee the field team and ensure timely updates and quality deliverables. Source market research participants from authentic and reliable databases. Ensure adherence to quality standards and project protocols. Apply innovative recruiting strategies using diverse sourcing methods. Build and maintain strong relationships with local stakeholders and partners to enhance collaboration, coordination, and workflow efficiency at the grassroots level. Recruit and screen both B2B and B2C respondents. Ensure projects are completed on time and within budget. Accompany clients during field visits, shop-alongs, and city tours. Source respondents for primary market research studies from various regions across India. Provide regular feedback to the field team and support them in addressing operational gaps. Desired Candidate Profile: 1 5 years of experience in a primary market research field agency, data collection agency, or research agency. Hands-on experience in end-to-end market research recruitment. Experience working with field partners, moderators, researchers, and simultaneous translators across India. Expertise in managing consumer, B2B, and healthcare research projects. Preference will be given to candidates from Mumbai and New Delhi.

As an Operations Research and Computational Scientist at Pranatree LLC, you will be part of a dynamic team based in Bangalore, with additional opportunities in Pune and Gurgaon. Your primary responsibility will be to develop and implement optimization models and computational solutions to address complex business challenges, thereby playing a crucial role in data-driven decision-making processes within the company. Your key responsibilities will include designing and executing advanced operations research models to optimize various business processes, as well as creating and refining algorithms to efficiently solve large-scale computational challenges. Collaborating with cross-functional teams, you will identify problem areas and provide comprehensive, data-driven solutions. Moreover, you will develop simulation models to test proposed solutions and prepare detailed technical reports and presentations for internal and external stakeholders. To excel in this role, you must hold a Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related field. Additionally, you should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages like Python and C is mandatory, along with experience in optimization tools such as Gurobi or CPLEX. Familiarity with machine learning and data analysis frameworks will be advantageous. Your problem-solving abilities, strong analytical skills, and excellent communication skills will be key assets in this role. You will also need to demonstrate strong team collaboration skills and contribute effectively to a multi-disciplinary team environment. Your performance will be evaluated based on your ability to develop efficient computational models aligned with company goals, deliver high-quality solutions within project timelines, and engage effectively with stakeholders. At Pranatree LLC, you will have access to flexible work options, professional development opportunities, comprehensive health insurance, and a commitment to maintaining a healthy work-life balance. This role presents various challenges and opportunities to tackle complex optimization problems, drive impactful projects, and contribute to a culture of innovation and continuous learning within the team.,

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role The position is responsible for managing credit risk Case setup, communications and FRP strategies for Consumer, SBS portfolio for the International markets. The role would specifically have direct functional responsibility for: Case Setup: Strategy to determine case setup strategies for further collection activities. Additionally partner with GSG to design and optimize treatment and collection strategies (e.g. how to collect a past due payment) Credit Communications: Design and own E2E Credit Notification strategies for both International Consumer & SBS portfolios NFC: Devise optimal No-further-charge strategies on CMs with a credit concern Collaborate closely with CCOs, Decision science, Credit operations, Compliance and Finance to deliver favorable business outcomes Minimum Qualifications Demonstrated experience driving and implementing credit risk management strategies Strong analytical acumen and problem solving skills Rigorous and analytical approach to problem-solving, decision-making, and prioritization Intellectual curiosity and learning agility needed to explore and evaluate new ideas Preferred Qualifications Advanced degree in statistics, econometrics, operations research, mathematics, computer science, engineering, or a related quantitative field of study

The Routing and Planning (RaP) organization, within the Last Mile Technology (LMT) organization, plays a pivotal role in Amazons mission to deliver packages to billions of customers worldwide. Our goal is to create the most efficient, reliable, and high-quality route plans for our drivers while ensuring safe, low-touch, and high-throughput solutions for operations. We re challenged to constantly improve and innovate on our routing and planning software to support Amazons promise of fast and reliable deliveries. The technology that are developed by our teams include a wide breadth of solutions from Machine Learning (ML) and Operations Research-based routing and planning algorithms, in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together. As an SDE-2, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components. We are looking for someone who loves solving hard problems in a collaborative environment, has high standards for quality and maintainability, and is looking to grow into a space where they can have high impact on customers. You will work with other engineers on our team and in adjacent teams, as well as with research scientists, senior engineers, and product managers, to develop software to automatically create the best package plans, which are used all over the globe, multiple times, every day. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly! Bring passion and dedication to your job and theres no telling what you could accomplish! The AppleCare Digital team is looking for a Design and Experimentation Analyst to drive data-informed decision-making as we evolve our digital support products portfolio. This role will play a key part in enhancing customer journeys, boosting engagement, and delivering smooth digital support experiences. We are seeking an analytical thinker with superb communication skills, strong business intuition, and passion for translating complex data into actionable insights. We seek a self-starter, who is willing to adapt well to changing requirements and work with multi-functional teams. Description - Shape product features and roadmap: Collaborate closely with designers and product owners to translate data insights into actionable recommendations that shape product features and influence the product roadmap - Drive data-informed design decisions: Analyze user behavior data and conduct A/B tests to find opportunities for improving product and website user experience across platforms - Uncover deep user insights: Perform detailed analysis on user interactions, engagement, and usability for digital experiences, building behavioral insights to anticipate user needs and curate frictionless customer experiences - Curate and conduct rigorous A/B testing: Design and implement A/B tests to experiment with design variations, objectively grounding decisions in real user behavior and analytics - Analyze and interpret results: Extract actionable insights from experiment data, presenting findings and recommendations to multi-functional teams in a clear and compelling manner - Champion a culture of experimentation: Promote data-driven decision-making and continuous optimization throughout the organization - Stay ahead of the curve: Stay up-to-date with industry trends, emerging technologies, and best practices in digital analytics, proactively finding opportunities for innovation and improvement. Minimum Qualifications 6+ years of industry experience in Data Analytics or similar role Experience in converting ambiguous user behavior or business questions into data-driven hypotheses and measurable outcomes Experience with using SQL to mine and analyze data Expertise in experimentation methods (eg. A/B testing, multivariate testing) and statistical analysis Familiarity with UX metrics and behavioral analysis to support design decision-making Experience in navigating through complex organizational structures and influencing business partners and stakeholders in decision making Preferred Qualifications Advanced degree (MS or MBA preferred) in a quantitative field such as Statistics, Design, Data Science, Machine Learning, Operations Research, Engineering, Computer Science, Mathematics, Physics, Bioinformatics, Economics, Psychology, or a similar quantitative field.

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. 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. 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 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 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 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 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 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.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. 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.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 Overview 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.

Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills

We are looking for a skilled and experienced Data Scientist to analyze large amounts of raw information to find patterns and insights Your primary responsibility will be to use data to develop solutions that will help drive business decisions and strategies ",jobkeywords:"Data Science, Data Analytics, Machine Learning, Spark, TensorFlow, PyTorch, scikit-learn", jobresponsibilities:"Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms using frameworks such as TensorFlow, PyTorch, and scikit-learn Utilize Apache Spark for large-scale data processing and analytics Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams ",jobProven experience as a Data Scientist or Data Analyst Experience in data mining and large-scale data processing Understanding of machine-learning and operations research Proficiency in programming languages such as Python and R, with experience in ML frameworks like TensorFlow, PyTorch, and scikit-learn Strong experience with Apache Spark Knowledge of SQL; familiarity with Scala or Java is an asset Experience using business intelligence tools (e g , Tableau) and data frameworks (e g , Spark) Analytical mind and business acumen Strong math skills (e g , statistics, algebra) Excellent communication skills ",

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. for enhanced performance and relevance. Fine-tune large language models (LLMs) to improve predictive accuracy and operational efficiency. Implement agentic workflows to streamline processes and enhance decision-making. Collaboration and Communication: Work closely with cross-functional teams such as IAM, network operations, incident response, and compliance to implement ideas, plan future roadmaps and ensure a cohesive approach to cybersecurity. Basic Qualifications ---- Ph.D., MS or Bachelors degree in Statistics, Operations Research, Computer Science, Engineering, or other quantitative field 5+ years of industry experience in software engineering Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models. Knowledge of experimental design and analysis Ability to use a language like Python or R to work efficiently at scale with large data sets Preferred Qualifications ---- Knowledge in modern machine learning techniques applicable to Cybersecurity domain Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Experience working with large scale data sets using technologies like Hive, Presto, and Spark Experience with synthetic data generation. Proficiency in fine-tuning and optimizing large language models (LLMs). Experience in retrieval-augmented generation (RAG) systems. Familiarity with agentic workflows and their applications in machine learning and AI systems. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Uber Eats is seeking a highly skilled and motivated Scientist to join our Search Team. As a Scientist, you will play a critical role in enhancing the search experience for millions of Uber Eats users worldwide. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and optimize search algorithms, ultimately improving user satisfaction and operational efficiency. What You Will Do Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving search performance. Design, implement, and optimize search models and algorithms to enhance the relevance and accuracy of search results. Generate actionable insights from data and communicate findings to stakeholders across the organization. Design experiments and interpret the results to draw detailed and impactful conclusions. Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions. Stay current with the latest advancements in data science, machine learning, and search technologies. Define how our teams measure success, by developing metrics, in close partnership with cross functional partners. What You Will Need Masters degree or equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields. 7+ years experience as a Applied Scientist or equivalent. Experience using Python or R to work with large data sets at scale. Experience using SQL in a production environment. Experience in experimental design and analysis, exploratory data analysis, and statistical analysis. Experience with dashboarding and using data visualization tools. Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar. Preferred Qualifications ---- PhD degree equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields with 5+ years experience as a Scientist or equivalent. Experience in building consumer-facing products in a technology company. Building Machine Learning and Deep Learning models. Experience in serach and recommendations Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. Experience guiding and mentoring other Scientists. Experience synthesizing data analyses into clear insights to influence product direction. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP)- In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems- You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure- The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving- You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business- Responsibilities: Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems- Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias- Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback- Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders- Optimization of the queries and pipelines- Modernization of the applications whenever required Qualifications: Expertise in programming languages like Python, SQL Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems- Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc-) Understanding of model evaluation metrics, model monitoring tools and practices- Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning Registry, Cloud Monitoring, Kubernetes, etc- Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications- Strong ownership and collaborative qualities in their domain- Takes initiative to identify and drive opportunities for improvement and process streamlining- Bachelor s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc-), international equivalent, or equivalent job experience- Bonus Qualifications: Experience in Azure MLOPS, Familiarity with Cloud Billing- Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features- Experience working in an Agile environment, understanding of Lean Agile principles-

This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams- This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization- This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions- This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale- RESPONSIBILITIES The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine- They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application- They are also going to need to be on call on weekends to bring the application back online in case of failure- Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models- Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization- Designs workflows and analysis tools to streamline the development of new ML models at scale- Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles- Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field- Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems- QUALIFICATIONS Requirements: A bility to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs- Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment- Familiarity in Machine Learning and Artificial Intelligence frameworks (i-e-, Keras, PyTorch), libraries (i-e-, scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems- Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills- Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features- Experience with scalable data processing, feature development, and model optimization- Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models- Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory- Works collaboratively, both in a technical and cross-functional context- Strong written and verbal communication- Bachelors (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc-), international equivalent, or equivalent job experience