308 Operations Research Jobs - Page 10

What you will do You will be accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Tech and Workforce Transformation team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for GCC senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs OptimizationOversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Operational Excellence and DeliveryOversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI Continuous ImprovementLead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities Business Impact & Collaborator ManagementEnsure capability solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Masters degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelors degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Preferred Qualifications: Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience Innovative customer capability leadership experience Minimum 5 years of professional experience in operational effectiveness with consistent record of automation development and capability efficiencies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an automation and innovation forward culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT, cross functional business leaders

The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. 6+ years of building machine learning models for business application experience PhD, or Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing

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 we'll 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

ROW SHARP Research team is responsible for building and supporting science capabilities for Amazon Supply chain teams in multiple geographies. Some example of current areas that we support are, (i) Network Design, (ii) Long Term Capacity Planning, (iii) Labor Optimization. We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include 1) Understanding the current planning process for program teams and tools available to them. 2) Determining the gaps in the tools/decision making through data analysis or simulation systems. 3) Determining the best possible tool to solve for the current gaps. 4) Launch or develop the identified tool through coding or solution deep dives and scenario creation. About the team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing for the multiple geographies like IN, Japan, Mexico, Brazil, MENA, AU & SG. The research team works to support network design, labor planning and capacity planning processes through launching decision support tools for planning or execution. PhD, or Masters degree and 4+ years of quantitative field research experience Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Experience analyzing both experimental and observational data sets Knowledge of R, MATLAB, Python or similar scripting language Experience with MIP Solvers like Gurobi, Xpress or Cplex. Experience with algorithms of Network flow like shortest path, Max Flow etc Experience with agile development Experience with Data structures and Algorithms Experience with concepts of OOPs and Design principles

Amazon Shipping Team: Basic Qualifications: Btech/Mtech in Computer Science, Machine Learning, Operations Research, Statistics, or related technical field applying ML techniques to solve complex business problems programming skills in Python, R, or similar languages Experience with modern ML frameworks (PyTorch, TensorFlow, etc.) About the Role: At Amazon Shipping, were revolutionizing package delivery through machine learning. Our network handles packages daily with predictive monitoring, proactive failure detection, and intelligent redundancy all while optimizing costs for our customers. Key Responsibilities: Design and develop ML models for: Transportation cost auditing and discrepancy detection Package-level shipping cost prediction First Mile optimization through warehouse pickup forecasting Delivery delay prediction using network signals and external factors Collaborate with cross-functional teams to implement ML solutions at scale Author scientific papers for ML conferences Mentor team members in ML best practices Provide ML consultation across organizations Preferred Qualifications: PhD in Experience with large-scale distributed systems Publication record in top-tier ML conferences Expertise in time series forecasting and anomaly detection Background in transportation/logistics optimization communication skills with technical and non-technical stakeholders Our Team: Youll join a diverse team of Applied Scientists, Software Engineers, and Business Intelligence Engineers working on edge ML solutions. Were passionate about solving complex problems and delivering customer value through innovation. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc.

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. 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.

The Business Analyst role is one of the most crucial roles in any organization and so is it in Gameskraft This role offers to take the initiative, deal with challenging problems, find insights from existing data and present it through the power of data visualization What youll do You ll be a part of the revenue/business function and will deal with key data sets like revenue trends, Arpu retention, reactivation, user cohorts, new vs old users etc You ll be involved in solving complex business problems which will directly impact the companys growth Solving these problems, will involve data analysis, and insights generation using tools like SQL, Python, Tableau, Excel etc You ll be involved in multiple cycles of data analysis - forming an initial hypothesis, extracting, analyzing, dissecting that data as per the hypothesis, presenting the insights in a crisp actionable manner; and then keep re-iterating the whole process till you reach the conclusion You ll also be responsible for fixing data issues in coordination with the data engineering team and conducting root cause analysis You ll also get a chance to coordinate and interact with multiple stakeholders from product, marketing and Cx teams What you will bring Well, apart from a few cookies every day, it d be great if you came with these Bachelor s degree in engineering, Operations Research, Maths, or related discipline 2-3 yrs experience in the data analytics domain preferably for a product-oriented company Candidate needs to exhibit structured thinking and strong analytical skills Hands-on experience with data manipulation tools like SQL, R, Python, Excel etc Exposure to visualization tools like Tableau, Power BI etc

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil s affiliates in India ExxonMobil s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India . What role you will play in our team Responsible for planning, coordinating, and optimizing the deployment of inventory across our distribution network to meet customer demand efficiently while minimizing costs and ensuring high service levels Manage the planning and execution of Deployment lanes within assigned portfolio Support change management (e.g. product line changes, network changes, supply disruptions, etc.) while ensuring systematic review and update of system parameters to Collaborate with other members from Supply Chain, Logistics, Operations, and Businesses to drive continuous improvement on customer satisfaction, cost efficiency, and inventory optimization Support Deployment Supervisor in a range of network initiatives Ensure knowledge retention through appropriate knowledge transfer and process documentation Job location is based out of Bangalore, Karnataka What you will do Coordinate, communicate, align Collaborate closely with demand planners, supply planners, production planners, and logistics to ensure alignment of supply and demand Coordinate with logistics team to ensure timely and cost-effective transportation Plan and execute network deployment Develop and execute deployment plans to allocate inventory from manufacturing sites to, and across, warehouses Monitor inventory levels and deployment schedules to prevent stockouts and overstock situations Analyze network data to identify bottlenecks, inefficiencies, and opportunities for improvement Maintain system parameters to ensure planning system accurately projects deployment requirement Maintain accurate deployment forecasts and adjust plans based on changing market conditions and business priorities Support continuous improvement initiatives within the supply chain deployment process Prepare and present regular reports on deployment status, inventory levels, and keyperformance indicators (KPIs). Ensure compliance with company policies and regulatory requirements related to supplychain operations. What you will do-Continued Manage assigned deployment network lanes to meet the product availability expectations (customer service levels) and desired inventory level Review / resolve distribution / deployment planning expectations Timely updated information on Back-orders and Future shortages in ProActive3 to enable CS reliable communication to customers Review, modify and approve inter / intra-plant shipments generated by ALB (EMAPSS Auto Load Builder) Build, modify and approve inter / intra-plant shipments on lanes not handled by ALB Manage load leveling for inter / intra-plant shipments Expedite orders as necessary to meet network requirements Manage network build / draw plans as laid out by the supply / planning manager Create manual Purchase Requisitions and Orders for Global Export/or if requested from network Work with Production Planners and Logistics group to optimize the execution and costs of interplant replenishment operation What you will do-Continued Work with the export centers for optimal import planning Work with 3rd Party Advisor and with the suppliers for optimal 3rd Party planning Manage DRP plan performance Analyze stock-out performance per assigned location(s), and take appropriate actions to avoid Analyze Deployment trends and impact on planning parameters (safety stock, lot size), initiate any parameter changes based on analysis to improve deployment performance Ensure import duties are handled by freight forwarder with accuracy Work with Network Planning Managers, Plant Production Planners, Team Leads and local Distribution Team to optimize and continuously improve the execution of inter / intra-plant deployment operations Shared responsibility for Inventory Availability, Perfect Order Metrics and the target FR Ensure all activities conform to the expectations set forth in the BPIMS Framework About You Skills and Qualifications Minimum 3 of years relevant work experience in supply chain network and deployment planning Bachelor s degree in engineering, Supply Chain, or Operations Research (or related fields such as Applied Mathematics/Statistics) Understand Supply Chain Fundamentals and Supply & Demand Principles Proficient in SAP Systems and MS Excel knowledge is critical Minimum 3 years of experience in conducting analysis and providing data-driven recommendations for S&OP processes Experience managing/supporting large-scale network deployment/replenishment activities Minimum 2 years of experience with demand and/or supply planning processes for either inbound materials or finished products Function effectively in a team environment, including virtual environments is critical Experience in using Supply Chain management systems/software s (e.g. Kinaxis, Blue Yonder, Logility, etc.) Minimum 3 years of experience in supporting supply chain activities for large scale operations within the Oil & Gas/Consumer Packaged Goods/Fast-moving Consumer Goods industry Proficiency with extracting information from ERP systems (such as SAP or Oracle) to generate data insights Preferred knowledge Experience in supply planning roles in Chemical, FMCG, CPG, Manufacturing, E -Commerce preferred Ability to work independently and without direct supervision Customer oriented mindset and focus Effectively interface with internal functions Experienced in conducting analyses and providing recommendations for supply planning problems using Strong background in statistics and/or analytics Strong judgment, including ability to make quality decisions Tableau and/or Power Bl for visualization Strong persuasion / communication skills / influence without direct authority Power Query, Excel Knowledge of R and/or Python for scripting is preferred Strong analytical and problem-solving skills, including conceptual capabilities Strong and effective interpersonal skills Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. 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Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Must have 3-6 years experience in risk/ business/ data analytics for P&C insurance, reinsurance, or insurance linked securities. Strong analytical and problem-solving abilities. Experience in mathematical or statistical application for R&D, model development or solution design. Hands-on experience with catastrophe risk models will be an added advantage. Strong database and data mining skills - working knowledge of Excel, Access, and SQL; VBA or VB.Net is an added advantage. Excellent written and verbal communication. Desirable - Knowledge of Python and R languages Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As a Sr Risk Consulting Associate, you will be responsible for the quantification of catastrophe risk using a variety of databases and RMS models for a client portfolio. The person will be required to understand client requirements for exposure and loss analytics, configure an analytical solution, and report/ present results from the analysis to underwriting and catastrophe modeling teams at insurance/ reinsurance companies. Key Accountabilities & Deliverables Provide high quality analysis of exposures and losses to enable business decisions at the client-end. Understand the in-depth working of RMS models including database schema to conduct the appropriate analysis. On hands experience in end-to-end account modelling and Portfolio/ Cedant analysis including exposure preparation and enrichment. Assess the quality of input data and be able to highlight potential improvements. Generate relevant insights from modeled results for an analytically sophisticated stakeholder group. Support the client in understanding the analysis output and proving value-added observations and comparison summary. Independently lead projects in terms of project delivery, value-addition, process optimization and client communication Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Mentor and train new risk analysts including performing need-based quality assurance of their work Interface with RMS client development and other technical teams on client engagements. About the team Our Analytical Services team provides clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It accurately forecasts the package movements across the network, has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown). When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping (SWA) is hiring Senior Business Intelligence Engineer (BIE) to enhance the pick-up experience and reduce first-mile costs. As a Senior BIE at SWA, you will lead the data and reporting requirements for First Mile and Pickup programs. Your role will involve close engagement with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities. You will demonstrate a high proficiency in complex SQL scripting, often combining various data sets from diverse sources. You will contribute to projects to improve Volume Forecasting and Capacity Panning. You will own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions. You will simplify and automate reporting, audits, and other data-driven activities. You will partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights. You will develop and drive best practices in data integrity, consistency, validations, and documentation. Additionally, you will act as team lead providing mentorship, reviewing product development, and offering guidance on ad-hoc leadership requests to junior team members. You will work as part of a diverse data science and engineering team comprising of Applied Scientists, Software Development Engineers, and other BIEs. Furthermore, you will also be called upon to provide business intelligence consultation beyond your team for various problem statements. If you are excited by this charter, come join us! 1. Bachelors or Masters in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Business Administration, or a similar related discipline 2. 5+ years of experience in BIE/BA roles with hands-on SQL and advanced Microsoft Excel skills 3. Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. 4. Experience with metric creation, theory and practice of design of experiments and statistical analysis of results 5. Experience with data visualization using Tableau, Quicksight, or similar tools 1. Masters degree in statistics, data science, or an equivalent quantitative field 2. Prior Experience in Transportation Logistics business 3. Superior verbal and written communication and presentation skills, experience working across functional teams and senior stakeholders. 4. Experience with AWS technologies

About us: 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 hasn t 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 Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target s Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As a Senior Data Scientist at Target, you will get an opportunity design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Target s supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields. 3-4+ years of relevant experience in data sciences; experience with supply chain or e-commerce order fulfillment is preferred. Excellent working knowledge of mathematical and statistical concepts , operations research , data structures and algorithms, data analysis, visualizations , and applications of the same in a variety of business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory. Experience developing, testing, and maintaining large codebases in a collaborative environment. while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Experience deploying solutions with large-scale business impact in commercial setting is a plus. Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Know More About Us: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Target s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target https://india.target.com/ Benefits https://india.target.com/life-at-target/workplace/benefits

About Us: 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 hasn t 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 Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview: As a Director Data Science, you will be responsible for leading the build and deployment of data science products that support the business priorities of the Merchandising function. Examples of such high impact data products include the optimization of Reg Pricing of all items in all 1900+ Target stores, as well as Digital. You will lead the build and deployment of the solution that helps to identify the best prices for the items sold in stores as well as digitally, that make best sense for our guests across various US markets, with the goal to maximise sales and profitability. You will get to lead teams that translate the understanding of broader macroeconomic factors, while supplementing with internal insights on demand variations by market, guest demographics, item cross-demand etc. Deployment of these data products will leverage the full power of the mathematical / computational architecture we have developed and deployed in an MLOps framework. This leadership role is responsible for providing work direction to bright data scientists and help develop a highly diverse and engaged team with a focus on continuous upskilling and learning. This role will also have the opportunity to work directly with senior leaders and partners in the business teams to influence and drive the data science roadmap for Merchandising business at Target. Core responsibilities are described within this job description. Job duties may change at any time due to business-needs. About You: 12+ years of experience deploying algorithms in a production environment with atleast 4+ years of developing highly performing data science teams M.S. or Ph.D. in math, advanced statistics, physics, bio statistics, bio science, operations research or computer science Strong academic credentials in Mathematics - well-trained in Math foundations (specifically in Probability Theory, Real Analysis, and Linear Algebra) Deep understanding of the Merchandising business processes would be an added advantage Must have strong written and oral communication skills, and the ability to debate proposed ideas from both a business perspective and from a mathematical perspective Proven ability in working and influencing the data roadmap of various business teams and stakeholders and strong negotiation skills Know More About Us here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About Us 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 hasn t 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 Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Target s Stores. Gain an in-depth understanding of systems and processes influencing stores efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving stroes operating model. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Know More About Us Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: 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. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

Target is an iconic brand, a Fortune 50 company, and one of America s leading retailers. Global Supply Chain and Logistics at Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to guests faster, better, and more cost-effectively across 1,900 locations. A role with the Data Science team means building scalable data science products to support the ever-changing supply chain landscape. This involves making smarter, automated, and algorithmic decisions. Evaluating product flow from vendor to distribution center and stores across the first mile, middle mile, and last mile, with a focus on inventory modeling and replenishment, to improve operating efficiencies both within the distribution center and across the network. We are looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root causes, simplifies problems, quickly identifies solutions, commits to a plan, and positively influences others to execute itIf so, you will thrive on this dynamic team. About the Role: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Supply Chain, such as identifying optimal inventory quantities and positioning across multiple channels and locations, planning the right mix of inventory investments versus guest experience, digital order fulfillment planning, transportation resource planning, and more. As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale for our supply chain network. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize supply chain solutions. Responsibilities: Develop a strong understanding of business and operational processes within Target s Supply Chain. Gain an in-depth understanding of systems and processes influencing supply chain efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. : Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Why Work with Us at Target Work directly on data science problems with the most impact on Target's entire supply chain, forecasting, and merchandising teams. We love open-source! Many of our team members contribute to open-source communities during work hours, and we try to contribute back where we can. We value diversity and inclusion in our teams and believe it s key to creating positive in-store experiences for our guests. We offer flexibility to team members' schedules and work arrangements, enabling them to flourish both inside and outside of work.

As a Data Engineer you would be working to design, build, test and create infrastructure necessary for real time analytics and batch analytics pipelines. You will work with multiple teams within the org to provide analysis, insights on the data. You will also be involved in writing ETL processes that support data ingestion. You will also guide and enforce best practices for data management, governance and security. You will build infrastructure to monitor these data pipelines / ETL jobs / tasks and create tooling/infrastructure for providing visibility into these. Responsibilities We are looking for a Data Engineer with passion for building data pipelines, working with product, data science and business intelligence teams and delivering great solutions. As a part of the team you:- Acquire deep business understanding on how SPAN data flows from IoT device to cloud through the system and build scalable and optimized data solutions that impact many stakeholders. Be an advocate for data quality and excellence of our platform. Build tools that help streamline the management and operation of our data ecosystem. Ensure best practices and standards in our data ecosystem are shared across teams. Work with teams within the company to build close relationships with our partners to understand the value our platform can bring and how we can make it better. Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company. Have a desire to write tools and applications to automate work rather than do everything by hand. Assist internal teams in building out data logging, alerting and monitoring for their applications Are passionate about CI/CD process. Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance. About You Required Qualifications Bachelors Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc 5+ years of relevant work experience in data engineering, business intelligence, research or related fields. Expert level production-grade, programming experience in at least one of these languages (Python, Kotlin, or other JVM based languages) Experience in writing clean, concise and we'll structured code in one of the above languages. Experience working with Infrastructure-as-code tools: Pulumi, Terraform, etc Experience working with CI/CD systems: Circle-CI, Github Actions, Argo-CD, etc Experience managing data engineering infrastructure through Docker and Kubernetes Experience working with latency data processing solutions like Flink, Prefect, AWS Kinesis, Kafka, Spark Stream processing etc Experience with SQL/Relational databases, OLAP databases like Snowflake. Experience working in AWS: S3, Glue, Athena, MSK, EMR, ECR etc Bonus Qualifications Experience with the Energy industry Experience with building IoT and/or hardware products Understanding of electrical systems and residential loads Experience with data visualization using Tableau. Experience in Data loading tools like FiveTran as we'll as data debugging tools such as DataDog Do mission-driven work: Every role at SPAN directly advances clean energy adoption. Bring powerful ideas to life: We encourage diverse ideas and perspectives to drive stronger products. Nurture an innovation-first mindset: We encourage big thinking and bold action. Deliver exceptional customer value: We value hard work, and the ability to deliver exceptional customer value

As a Data Engineer you would be working to design, build, test and create infrastructure necessary for real time analytics and batch analytics pipelines. You will work with multiple teams within the org to provide analysis, insights on the data. You will also be involved in writing ETL processes that support data ingestion. You will also guide and enforce best practices for data management, governance and security. You will build infrastructure to monitor these data pipelines / ETL jobs / tasks and create tooling/infrastructure for providing visibility into these. Responsibilities We are looking for a Data Engineer with passion for building data pipelines, working with product, data science and business intelligence teams and delivering great solutions. As a part of the team you:- Acquire deep business understanding on how SPAN data flows from IoT device to cloud through the system and build scalable and optimized data solutions that impact many stakeholders. Be an advocate for data quality and excellence of our platform. Build tools that help streamline the management and operation of our data ecosystem. Ensure best practices and standards in our data ecosystem are shared across teams. Work with teams within the company to build close relationships with our partners to understand the value our platform can bring and how we can make it better. Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company. Have a desire to write tools and applications to automate work rather than do everything by hand. Assist internal teams in building out data logging, alerting and monitoring for their applications Are passionate about CI/CD process. Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance. Required Qualifications Bachelors Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc 7+ years of relevant work experience in data engineering, business intelligence, research or related fields. Expert level production-grade, programming experience in at least one of these languages (Python, Kotlin, or other JVM based languages) Experience in writing clean, concise and we'll structured code in one of the above languages. Experience working with Infrastructure-as-code tools: Pulumi, Terraform, etc Experience working with CI/CD systems: Circle-CI, Github Actions, Argo-CD, etc Experience managing data engineering infrastructure through Docker and Kubernetes Experience working with latency data processing solutions like Flink, Prefect, AWS Kinesis, Kafka, Spark Stream processing etc Experience with SQL/Relational databases, OLAP databases like Snowflake. Experience working in AWS: S3, Glue, Athena, MSK, EMR, ECR etc Bonus Qualifications Experience with the Energy industry Experience with building IoT and/or hardware products Understanding of electrical systems and residential loads Experience with data visualization using Tableau. Experience in Data loading tools like FiveTran as we'll as data debugging tools such as DataDog

CCB-Risk- Card Data Science & Capabilities- Associate JP Morgan Chase (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J. P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http//www. jpmorganchase. com/ . Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities - Applied AI/ML Associate Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e. g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills 3+ years of experience in developing and managing predictive risk models in financial industry. Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

Roles Responsibilities : Design and develop scalable machine learning models for predictive analytics, classification, and optimization tasks. Work closely with data engineering teams to gather, clean, and transform large-scale data for model training and evaluation. Conduct A/B testing and performance monitoring of deployed models. Communicate complex model outcomes and business impact to stakeholders in a clear and concise manner. Contribute to model lifecycle management, including retraining pipelines and MLOps best practices.

As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data. You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization. Required Skills (Must have) Tech: Advanced programming knowledge in Python and SQL. Advanced knowledge in Probability and Statistics, including hypothesis testing. Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them. Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib. Experienced in modern development tools and writing code collaboratively. Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms. Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms. Non Tech : Ability to recognize and pursue pragmatic alternatives vis--vis a perfect solution, balancing priorities of time with potential business impact. Plan projects, break them down across individual data scientists in the team, track their performance and manage risks. Ability to storyboard an entire presentation to a non-technical audience. Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions. Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations. Technical leadership and mentorship to the community of data scientists in the organization. Required Skills (Good to have) Tech: Advanced knowledge in one or more areas besides Machine Learning – Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud. Non Tech: Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach. Roles and Responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Want to apply your research and survey design skills to build insights and shape business strategies for Amazon across different businessesThe Customer Experience Strategy organization is looking for a highly motivated, creative and curious individual to join our Customer NPS team in Bangalore. Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience in the market. As a Program Associate you will conduct NPS across multiple product lines (e.g. Travels, bills payment, UPI etc.). The insights you generate will have a direct impact on how product teams can shape customer experience improvement initiatives. With a dynamic, innovative and diverse environment, this role will provide you with ample opportunities to constantly build your skill set and address new challenges while you help Amazon to achieve its vision: to be Earths Most Customer-Centric Company. The right candidate will be excited about the opportunity to be our customer insights evangelist and influence customer experience on Amazon! Roles Responsibilities: As an associate, the candidate will work closely with product, program, marketing and BI team for smooth running of the NPS program. The candidate will be expected to have a high bar in managing the stakeholders across multiple teams within Amazon. The role will cover: A) Managing end to end operations of the program and stakeholder B) Preparing, maintaining and publishing results via advanced dashboards or tableau for leadership C) Coordinating with stakeholders for smooth running of workflows D) Improvement automation of manual processes E) Working effectively independently in a fast-paced environment - Bachelors degree in Computer Science, Engineering, Operations Research, Math, or related discipline - Proficiency in Excel and basic knowledge of SQL preferred - Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, derive meaningful insights and draw conclusions relevant to the business problem. - Communication skills - ability to communicate efficiently (written and spoken) in English. - Demonstrated ability to communicate complex technical problems in simple plain stories. - Ability to present information professionally concisely with supporting data. - 2+ years experience with E-Commerce, Retail and Business Analytics would be an advantage - Basic knowledge of SQL - Basic knowledge of Python

Want to apply your research and survey design skills to build insights and shape business strategies for Amazon across different businessesThe Customer Experience Strategy organization is looking for a highly motivated, creative and curious individual to join our Customer NPS team in Bangalore. Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience in the market. As a Program Associate you will conduct NPS across multiple product lines (e.g. Travels, bills payment, UPI etc.). The insights you generate will have a direct impact on how product teams can shape customer experience improvement initiatives. With a dynamic, innovative and diverse environment, this role will provide you with ample opportunities to constantly build your skill set and address new challenges while you help Amazon to achieve its vision: to be Earths Most Customer-Centric Company. The right candidate will be excited about the opportunity to be our customer insights evangelist and influence customer experience on Amazon! BASIC QUALIFICATIONS Bachelors degree in Computer Science, Engineering, Operations Research, Math, or related discipline Proficiency in Excel and basic knowledge of SQL preferred Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, derive meaningful insights and draw conclusions relevant to the business problem. Communication skills - ability to communicate efficiently (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally concisely with supporting data. PREFERRED QUALIFICATIONS Experience in working with Excel 2+ years experience with E-Commerce, Retail and Business Analytics would be an advantage Basic knowledge of SQL Roles Responsibilities: As an associate, the candidate will work closely with product, program, marketing and BI team for smooth running of the NPS program. The candidate will be expected to have a high bar in managing the stakeholders across multiple teams within Amazon. The role will cover: A) Managing end to end operations of the program and stakeholder B) Preparing, maintaining and publishing results via advanced dashboards or tableau for leadership C) Coordinating with stakeholders for smooth running of workflows D) Improvement automation of manual processes E) Working effectively independently in a fast-paced environment - 1+ years of sales experience - Bachelors degree - Excel Knowledge

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Must have more than 7+ Years of experience in Catastrophe Modeling Domain Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team-either in full or in part-is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to "Business-As-Usual" phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.