308 Operations Research Jobs - Page 12

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 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.

Lowe s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe s customers. Lowe s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in . About the Team The Transportation team in India is a part of the larger team that operates in Mooresville. We support our Mooresville team on various operational as well as reporting and project related activities. Our operations span across, Freight Pay, System Maintenance and Exception Management. We develop and support reporting for Purchase Orders, Carriers and 3PLs operating our DCC buildings. We also work on projects such as Utilization, Forecasting and Transportation Modeling. Job Summary: Use the sample functions below to help you fill in the Job Summary box. Use these functions as starting points or create your own. Sample Manager functions to elaborate on : executing direction from leadership, delivering results that align with strategic objectives, communicating critical information to other teams, managing vendor relationships, developing processes that align to organizational goals, specific technical skills required for managing a process. The primary purpose of this role is to help Lowe s become more efficient at managing our Transportation Operations and serving our internal customers by facilitating a center of excellence for freight pay, system maintenance and exception management activities. In this role, you will own and execute mid to high complex BAU processes. Utilize the business context and functional acumen you have built, to drive process improvements by identifying inefficiencies in the current operations and designing solutions under the guidance of TL or Sr. Analyst. You will also drive low complex projects/ad-hoc requests on your own and collaborate with Sr. Analysts or TL on mid to high complex projects/ad-hoc requests that result in cost savings or service improvement. You are expected to follow all the industry best practices and deliver high standards of quality, timeliness and efficiency. Analyze and report accurate results; and identify meaningful insights that directly support decision making. In addition, you will also support the team with process trainings within the team and aim to position yourself as the Subject Matter Expert in all the processes and projects you own. To be successful, the individual in this role must build and apply strong understanding of supply chain domain knowledge. It would be an added advantage if the candidate is technically oriented. Roles & Responsibilities: Core Responsibilities: Understands and executes all the mid to high complex Freight Pay, System Maintenance & Exception Management activities both in import and domestic transportation. Constantly keeps the leadership and stakeholders updated on the daily deliverables and meets all the deliverables with high standards of quality and timeliness. Collaborate with Sr. Analysts to transition new processes to the team and train fellow Analysts and Associate Analysts on those new processes Utilize the business context and domain knowledge of supply chain and transportation to improve/optimize the existing operations to realize benefits in costs or time. Lead low complex projects/ad-hoc requests Collaborate with Sr. Analysts or TL to drive mid to high complex projects/ad-hoc requests. Communicates to leadership and stakeholders on a consistent basis regarding operational activities and holds themselves accountable to achieve 100% quality and timeliness. Leads low complex operational efficiency measures being undertaken within the team Leverage your technical & analytical skills to perform low to mid complex analytical and project work ultimately ensuring a high quality deliverable that provides impactful as well as actionable insights. Maintains consistency in analytical and project best practices by brainstorming and partnering with other areas within the broader organization of Supply Chain. Tracks measures of success and develops dashboards and reports that measure key performance indicators driving actionable insights. Offers insight and recommendations based on the data analysis Participate in training/mentoring new associate analysts in the team Holds associate analysts accountable in their operational activities Acts as process captain and be responsible for training, documenting and maintaining the SLA & Quality metrics for your process. Years of Experience: Overall 2+ years of Experience 2 years of experience in Supply Chain 1+ years of experience in Transportation or Logistics Management 1+ years of experience in Reporting and Data Analytics 1+ years of experience in Project Management Education Qualification & Certifications (optional) Required Minimum Qualifications : List the education, certification, and work experience for an incumbent in the job. Enter the Minimum Qualifications and Preferred Qualifications as directed, and delete the areas not used. List the education, certification, work experience and skills required to minimally qualify an individual for the job. Bachelor s Degree in Engineering, Supply Chain Management, Operations Research or Related Field MBA or Master s Degree in Supply Chain Skill Set Required Moderately skilled in SQL Moderately skilled in data gathering and visualization tools such as PoweBI Basics of python Excellent written and communication skills, including the ability to develop project presentation and documentation for management consumption Working knowledge of transportation operations Moderate problem-solving skills Excellent time management skills Secondary Skills (desired) Any modeling experience in JDA Transportation Modeler. Ability to identify and drive cost savings opportunities without support. Ability to identify and drive operational efficiencies without support. Ability to drive strategic initiatives without support.

Participate in client engagements in enhancing current statistical models and develop new models for business needs or design of experiments for test/control analysis and business process trials. Consult with cross-functional teams on matters relating to Machine Learning, knowledge discover, data modeling, and analytics. Own predictive models/ML and DOE/A-B testing areas of production ready ML models hosted across multiple systems. Develop business context for environment and ML uses/applications and deep knowledge of data inputs, outputs, and statistical testing/modeling Write/Run data extraction algorithms to acquire data from primary or secondary data sources and ability to describe/direct data requests for representative data necessary for analyses Develop statistical tests and predictive solutions to make business recommendations for decisioning Train/develop models, run evaluation experiments, and perform statistical analysis of results, refine and test / validate models in production Develop understanding of data framework and how it relates to business use, specific process time points, and make recommendations for any new data needs. Coordinate with data engineers to ensure data is representative of analysis solutions. Use of data analytics and other strategies that optimize statistical efficiency and quality Interpret data, analyze results using statistical techniques and provide ongoing reports Identify, analyze, and interpret trends or patterns in complex data sets Work with management to prioritize business and information needs Perform Ad Hoc Data Analysis and reporting for model performance Locate and define new process improvement opportunities for testing and predictive modeling Qualifications Required / Desired Skills Advanced degree in one or more quantitative discipline Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact. Proficient with Pyspark, noSQL and Python and distributed programming Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deployment Experience in client engagements, interpreting client s business challenges, and recommendations for statistical analysis solutions (ie analytical consulting and solution design) Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. Experience in Gen AI, LLM Workflow, Graph RAG etc is an added advantage. Flexible to work in shift model.

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . The Role: As part of Dun Bradstreets Data Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun Bradstreet initiatives. Key Responsibilities: Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes. Establish and maintain strong relationships with key business stakeholders. Engage clients and DB colleagues to identify business needs and develop, implement, and manage solutions. Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders. Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting. Develop Global Analytic Solutions inclusive but not limited to statistical models based on DB s established best practices, methodologies, and tools. Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases. Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions. Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies. Validate the performance of existing quantitative risk models and recommend changes when necessary. Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills Master s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). 7+ years operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives. Hands-on experience applying modern machine learning techniques. Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL). Experience in feature engineering, automation, network analysis or Natural Language Processing. Experience working with outside clients on statistical engagements. Ability to manage multiple assignments, many of which have challenging timelines. Ability to work independently, as well as collaborate effectively in a team environment. Excellent communication and presentation skills. Proficiency in Microsoft Office Suite. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. . .

Key Responsibilities This position is for an Analyst with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk models (IRB, IFRS9, Custom Scorecards and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation profiling analyses, assist business implementation of sophisticated Regulatory and Scoring models and providing analytic support to Standard Chartered businesses across the globe. Skills and Experience Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Verbal/Written communication Presentation skills Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline Good understanding of retail banking / small business / consumer finance products and business life-cycles (e. g. sales, underwriting, portfolio management, marketing, collections) 0-2 in-depth years experience in hands-on Statistical Modeling in credit risk for retail banking / small business / consumer finance portfolios Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis Hands-on experience in mining data and understanding data patterns Experience in directly interacting with Business and exposure to International markets will be a plus About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 29835

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labelling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labelling of advertising assets and moderation of millions of ads submitted each day. - PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience with data analysis package (R, SAS, Matlab, etc.) - Experience using SQL databases to manage and analyze large data sets - PhD in operations research, applied mathematics, theoretical computer science, or equivalent - Experience applying forecasting and data mining techniques

Key Responsibilities This position is for an Associate Director (WRB) with experience in areas of Credit Risk Scorecards and Credit Risk Strategy (cut-off analysis, line assignment et. al) for retail banking / small business lending businesses. The individual will drive delivery (2-3 engagements at any given time) of both Credit Risk Scorecards and associated Credit Risk Strategies (as well as other risk analytics) for all Retail and SME portfolios of Standard Chartered Bank. The individual is expected to be hands-on at all times. Responsibilities include understanding Standard Chartered Group requirements and working with the team in developing statistically derived predictive models, performing decision tree-based customer segmentation and profiling analyses, assisting business implementation of sophisticated risk models and providing analytic support to Standard Chartered Businesses across the globe. The individual is expected to drive timely delivery with assigned resources on an engagement, while ensuring compliance to prevailing / applicable standards / legislation / policies Strategy Strategic mindset Business Retail Business Understanding Processes Process improvement People Talent People manager Lead through example. Set clear expectations from the teams and work in collaboration with all relevant partners. Set and monitor objectives for team members and provide feedback Risk Management Manages risk Governance Adhere to governance Key stakeholders Unsecured and Secured Risk and Business Heads of Countries Head of Scorecards Group Model Validation Model Risk Policy and Governance Model Delivery Management Skills and Experience Leading and owning 1-2 engagements at any given time Ability to explain modelling outputs and inferences to Senior Stakeholder in non-technical manner Need of getting involved in on-the-ground and data activities Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering, MBA or other quantitative discipline At least 4 years of total experience in a retail banking / small business lending analytical function. Hands-on experience of 4 - 6 years, in the past in statistical modeling, mining data and understanding data patterns is an absolute necessary to lead engagements. Past exposure to statistical programming skills in SAS (preferred) or similar tools Experience in directly interacting with Business and exposure to international markets will be a plus Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. 29834

bachelors degree in computer science or a related fieldOR masters degree in statistics, economics, business economics, econometrics, or operations research. 3-8 years of experience in the Analytics/Data Science domain. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with Azure cloud platform and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills - Desirable: Expertise in NLP and Generative AI methods like Prompt design, Retrieval Augmented Generation (RAG) Multi-agent frameworks, and Evaluation frameworks. Proficiency in programming languages such as Python. Technical Skills - Good to Have: API development Deployment of GenAI applications Specific Responsibilities Requirement Gathering: Translate business requirements into actionable analytical plans. Ensure alignment with the customer s strategic objectives. Data Handling: Identify appropriate data sources to address business problems. Resolve data discrepancies, including ETL tasks, missing values, and outliers. Development and Execution: Deliver projects and POC initiatives from inception to completion. Develop and refine technical and analytics architecture. Implement scalable analytical frameworks and data pipelines. Coordinate with cross-functional teams. Deliver production-ready models and solutions. Monitor success metrics and ensure high-quality output. Create and maintain documentation/reports. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, ETL, AI/ML Development, Data Science, SQL, Azure Analysis Service, Analytics Development, NLP

Data Intelligence Platform team is responsible for housing the enterprise data within Lululemon. The enterprise data helps teams to build intelligent applications, optimized processes, and personalized guest experiences. The team serves as a source of reference for cross functional reporting, marketing, and data science teams. A successful candidate will be a problem solver and an expert in ETL programming/scripting, data modelling, data integration, SQL and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know, and love working with new technologies, can model multidimensional datasets, and can partner with cross functional business teams to answer key business questions. Apart from building data pipelines, you will be an advocate for automation, performance tuning and cost optimization. Be ready to question the status quo and bring forth intelligent solutions and proof of concepts. Key Responsibilities Understand requirements and take ownership of the end-to-end delivery of the data product/pipelines. Build robust and scalable data pipelines using ADF, Snowflake, Airflow and PySpark. Embrace automation, reduce cost, and human dependencies wherever possible. Build frameworks and reusable components. Bring a product development mindset to every aspect of data engineering development activities. Qualifications Bachelor s degree in Computer Science, Mathematics, Statistics, Operations Research. 4+ years of experience as a Data Engineer or in a similar role. Experience with Databricks, Airflow, Azure Data Factory, and PySpark. Proficiency in Python. SQL proficiency with expertise in Snowflake. Experience with real-time data processing frameworks such as Kafka Streams. Strong knowledge of ETL/ELT processes, data modeling, and data warehousing. Working knowledge of DevOps tools (Jenkins, Azure DevOps, GitLab) and version control (Git). Experience with any of cloud systems Azure, AWS or GCP. Experience with data modeling, data warehousing, and building ETL pipelines. Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture. Co-ordinating with global engineering Team. Excellent problem-solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.

Job Title:Cobol Dev Experience:5-10Years Location:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Job Title: Operations Research Scientist Key Responsibilities 1. Model Development Translate business requirements in to solid and detailed mathematical problems Design and build mathematical optimization models (like linear, integer, nonlinear programming, mixed integer linear, stochastic optimization, heuristics, dynamic programming or RL-based optimization) Develop stochastic models \ simulation models to analyse system performance and its evolution; play-out scenarios and predict behaviour under varying conditions Verify models with actual data, identify gaps, modify model parameters, fine-tune and check sensitivity for more aligned performance. 2. Implementation & Deployment Collaborate with engineering teams to integrate models into production environments, ensuring scalability and reliability Test and validate models for accuracy, usability, and alignment with business objectives Design monitoring systems to track model performance over time Iteratively improve models based on real-world feedback and changing conditions 3. Communication & Collaboration Translate complex technical concepts into clear, actionable insights for non-technical stakeholders Create compelling stories, analysis, documents and dashboards to illustrate model outputs and recommendations Present findings to executive leadership, highlighting business impact and ROI Work cross-functionally with business units to understand core operational challenges and requirements Train and support end users in interpreting and applying model outputs Required Qualifications 1. Education Master's Operations Research, Industrial Engineering, Applied Mathematics, or related field 2. Technical Skills Strong programming skills in at least one language commonly used for optimization (Python, C++, C, Java) Proficiency with optimization solvers (e.g., Gurobi, CPLEX etc) Competent in developing mathematical optimization models using mathematical modeling languages such as OPL, GAMS, AMPL or develop with Pyomo, Gurobipy, etc. Proficient in code driven simulation models and software driven (AnyLogic, Arena etc) Experience with statistics, data analytics and visualization 3. Experience 3+ years experience applying OR techniques to solve business problems 4. Soft Skills Ability to translate high-level requirements and deadlines into shorter-term work tasks, self-direct work and collaborate Excellent communication skills with demonstrated ability to explain complex concepts to non-technical audiences Experience deploying models in production and real-world environments Preferred Qualifications PhD in Operations Research, Applied Mathematics, or related field Experience with cloud computing platforms (AWS, Azure, GCP) Ability to analyse system design and process design, and build wholistic solutions Knowledge of machine learning techniques and their integration with OR approaches Familiarity with visualization tools (Tableau, Power BI) and dashboard creation Industry experience in logistics, airlines, supply chain, manufacturing, or healthcare Publications in relevant conferences or journals Success in this Role The ideal candidate doesn't just build elegant models that work in theory but creates practical solutions that deliver real business value in complex, dynamic environments. They posses strong analytical skills and Role & responsibilities Preferred candidate profile

Join us to elevate customer satisfaction through impactful data projects. As a Data Domain Architect Associate Senior at JPMorgan Chase within the Data Analytics team, you will support the Customer Satisfaction survey process. You will create customer data sample files across all lines of business to generate insights that enhance customer experiences. Collaborate to develop solutions for obtaining and extracting large customer data sets, ensuring integrity through extensive auditing and validation. Job Responsibilities Leverage analytical and statistical applications (SAS, SQL, Snowflake, Alteryx) to analyze complex data sets. Identify customer interactions across various channels (calls, branch, online, emails, IVR) for survey targeting. Prepare and validate data from diverse sources for file creation. Deliver recurring data files in accordance with client SLAs. Facilitate requirement definitions, design, testing, and code implementation for customer satisfaction surveys. Collaborate with data management, strategy teams, and analytics resources across functions. Construct process documentation and workflow capture. Required Qualifications, Capabilities, and Skills 3+ years of related experience. Bachelors degree in Operations Research, Market Research, or related field. Proficient with SAS Viya, SAS Macro, SQL, VBA, JavaScript, and MS Office tools. Experience with relational database systems (Teradata, Snowflake, Oracle). Knowledge of Putty, Control-M, and Power Shell. Strong communication skills; ability to engage with all management levels and partners. Strong analytical skills with attention to detail and accuracy. Preferred Qualifications, Capabilities, and Skills Hands on experience in Alteryx

We are looking for a Data Science Engineer with 2-4 years of experience. This is an outstanding opportunity to be at the forefront of digital transformation, driving insights and strategies that craft the future of user experiences at Adobe. What you'll do Prioritize and lead deep dives into Adobe Creative Cloud data to uncover new product and business opportunities, including using machine learning to uncover opportunities Partner with the product development teams and leadership to develop business strategy and product roadmaps based on analytical insights Design, implement, and analyze A/B experiments to provide reports and impactful insights Inspire the data science and product teams around experimentation and product insights Work directly with the development teams on product instrumentation, product flow and data capture What we're Looking For Expert in SQL and at least one data science tool such as Python or R Advanced proficiency with data visualization tools (eg Power BI, Tableau, Looker) Experience in using machine learning models to gain insights and influence product strategy 2+ years of hands-on technical experience in a data analytics or data science role; 1+ years in behavioral data science for multi-platform SaaS products is strongly preferred Experience exploring large amounts of information, extracting insights, and achieving real-world results Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills are musts History of deriving and communicating insights from data analyses to product and/or business leaders Degree in a quantitative field like statistics, economics, applied, math, operations research or engineering preferred, or related work experience

The Commercial Portfolio Products Development team (CPPD), within Global Commercial Services, is focused on designing and delivering a seamless digital experience that drives customer engagement as we'll as business growth. The Digital Capabilities team within CPPD team designs and delivers digital tools for middle market, large and global scale companies to effectively lead their Corporate Card programs. We are looking for a seasoned Product professional to join our growing team and drive development of key Commercial products. The ideal candidate will be enthusiastic about creating digital technologies to enable seamless and intuitive corporate product experiences. The individual in this role will drive the product adoption and strategic plans to launch digital features as part of the Corporate Program Product Development (CPPD) team. The candidate will exhibit strong communication and organizational skills and have a proven record of delivering value while leading multiple priorities and tight timelines. Purpose of the Role: Develop, design & deploy insights products for commercial clients providing insights and actionable recommendations to optimize their travel and expense programs. Drive efficiency and scale via automated utilities & solutions that can drive scale and enable deeper penetration of insights products to meet customer needs. Individual is preferred to bring and build T&E domain expertise, industry and business trends that s helpful in consultative discussion with key client personas. Key Responsibilities Related experience in Product Development or Product Management Conduct prototyping of insights products and services based on client needs using tools like HIVE, Python, SQL, Tableau Leverage advanced analytics to drive innovative solutions Proven history of delivering adoption of digital product Partner with technology to put offline products to scalable digital roadmap, manage end to end delivery plan and associated risk. Plan and drive the PI delivery schedule Solid understanding of user-centric design principles and agile methodologies Excellent communication, collaboration, and critical thinking skills Experience collaborating with corporate clients and Enterprise software solutions High diligence with an eye for accuracy and controls Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to achieve goals in a demanding environment Minimum Qualifications: 3-5 years of relevant work experience Prior experience in financial sector preferred and having product mindset. Expertise in programming tools Python / Hive / SQL / VBA / Tableau Knowledge and application of statistical methods Expertise in end-to-end automation of solutions Strong Client and stakeholder management; Communication skills; Presentation skills Bachelors degree in Engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research Expertise in programming tools Python / Hive / SAS / SQL / VBA / Tableau Experience in digital product development / exposure to implementation of Agile/Scrum methodologies. Preferred Qualifications : Experience in designing scalable solutions and lead implementation of complex data product Strong program management, analytical & problem-solving skills Ability to think abstractly and deal with ambiguous/under-defined problems Experience in payments, financial sector (any other relevant) industry preferred Experience with analytics for commercial clients / travel & expense programs / fintech preferred Functional Skills / Technical Skills Experience in product development Good Presentation skills Solution Designing Analytics, Insights & Targeting Python, HIVE, SAS, SQL, Advanced Excel Basic statistical technique and algorithms We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

The Program supports the state health and facility level leadership to strengthen governance structures, ensure optimal availability, maintenance, and upkeep of oxygen assets, strengthen supply chain system to ensure availability and accessibility of essential medicines at primary level and build capacity for management of assets and provision of clinical care. Through this support WJCF expects to ensure prevention, early diagnosis, and timely access to high quality medical oxygen to manage hypoxemia cases, while ensuring adequate preparedness to manage surge of Covid-19 cases or on account of other acute or seasonal respiratory ailments. Role Overview: We seek a highly motivated and entrepreneurial individual with outstanding credentials and demonstrated analytical (quantitative and qualitative) and stakeholder management abilities for the role of Analyst, EM&O2 based out of Raipur, Chhattisgarh. The Analyst will work closely with the state and national program teams and will be expected to develop and manage strong relationships with the Department of Health & Family Welfare (DoHFW) Chhattisgarh to support program implementation initiatives. The successful candidate must have strong quantitative and analytical skills, excellent verbal and written communication skills, be able to function independently with flexibility in a dynamic and uncertain situation, be self-motivated, and have a strong commitment to excellence. We place great value on qualities such as resourcefulness, responsibility, tenacity, independence, energy, and work ethic. Responsibilities Key responsibilities include, but are not limited to, the following Provide strategic and analytical support to EM&O2 program for implementation of activities, and monitoring and review of program outputs. Undertake analysis of large datasets to generate insightful reports and dashboards that can inform programmatic decision making. Prepare high-quality reports, presentations, briefs, and dashboards for internal and external stakeholders Closely work with State Lead to support state and district government officials on strengthening of medical oxygen for hypoxemia management. Support in building and strengthening an efficient public health supply chain for essential medicines including development of guiding documents. Active collaboration with government partners to integrate available data sources and build models to quantify and forecast demand for essential medicines distributed by the public sector Support the development of presentations, work plans, budgets, reports, proposals, articles, and other documents for ongoing and new areas. Coordinate with cross-functional teams including knowledge sharing and communications for seamless implementation. Develop strong working relationships with and represent WJCF as a trusted advisor to key stakeholders and ensure coordination of resources and effort for maximum impact. Support program management and leadership team with programmatic activities, and evaluation and scoping of other potential intervention areas, as required. Contribute to internal organizational initiatives. Other responsibilities as needed and assigned by the reporting manager. Qualifications Qualifications : Bachelor s degree or higher in management, economics, public health, engineering, computer science, statistics, operations research, or a related field. At least three years of professional experience in private or public sector setting/consulting. Skills & Traits: Excellent oral and written communication skills in English, including ability to create persuasive presentations and written reports. Fluency in Hindi and Punjabi is an advantage. High level of proficiency in Microsoft Office Suite, particularly Excel, PowerPoint, and Word. Strong interpersonal skills, with the ability to work collaboratively in a diverse and fast-paced environment. Ability to navigate complex processes and influence decision-making in a professional and collaborative manner. High emotional intelligence, patience, and thoughtfulness even in high-pressure, stressful situations. Ability to work independently, prioritize, and handle multiple tasks simultaneously. Willingness to travel extensively within and outside the program states and districts. Experience of working with government stakeholders and familiarity with the Indian public health system/social impact sector in areas of supply chain management will be a plus.

As a Manager in our Retail Methodology team, you ll play a key role in helping to provide insights and calculate credit metrics impact on Risk Weighted Assets, Provisions and other Credit Risk measurements for current and proposed regulatory and accounting environments. Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours. Role Location: Bengaluru Role Type: Permanent, Fulltime What will your day look like? As a Manager, Retail Methodology, you will: Develop methodology compliant with credit risk regulatory capital or accounting requirements. Build strong relationships with key stakeholders to ensure Basel III Capital and IFRS 9 Provisioning outcomes are clearly communicated. Manage and respond to APRA/Regulator queries and data requests (quarterly and adhoc). Liaise with product owners to assist with product approvals. Deliver accurate quantitative data with clearly documented assumptions. Help embed a great risk culture in ANZ. Ensure policies and processes relevant to the role are complied with. What will you bring? To grow and be successful in this role, you will ideally bring the following: Understanding of Basel framework and Credit Risk components SAS and SQL and Advanced Excel Quantitative Degree in statistics, actuarial, econometrics, mathematics, operations research or related field Ability to work independently and as part of a team

5+ years ofexperience in product analytics or data science. Practical project experiencein advanced data analysis, statistical modeling, and machine learning conceptsis essential. Education: Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute. Analytical Skills: Analytical thinker with a passion for using data and scientific methods to solve business problems. Programming Proficiency: Proficient with common analytical programming languages e.g. Python; expert in SQL. Experience with writing production-ready code in Python and automation. Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark. Experience with tools like git, mlFlow, Airflow, Cron, Docker, and Cloud Platforms such as AWS/GCP is a plus. Technical Expertise: Strong proficiency in core Data Science, Machine Learning, and Statistical modeling. In-depth experience in techniques from time-series forecasting and/or causal inference. Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models, Generative AI (LLM) is highly desirable. Advanced Techniques: Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting Time Series, Cluster Analysis, Decision Trees, Linear Optimization, and Text Mining. Specific Skills: Must have Semantic Modeling & NER (Named Entity Recognition) experience. Pre-trained Models: Experience working with pre-trained models, awareness of the state-of-art in embeddings and their applicability for use cases. NLP/NLG/NLU Experience: Must have strong experience in NLP/NLG/NLU applications using popular deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, and GPT (or similar models). Generative AI Exposure: Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT-3.5 & 4, and Prompt Engineering. Cloud Experience: Experienced in developing and deploying data science models, especially in the Cloud environment. Must have worked using Azure services or AWS SageMaker for ML & GenAI projects. Consultative Skills: Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. Benefits Competitive salaries Medical Insurance Employee Referral Bonuses Performance Based Bonuses Flexible Work Options & Fun Culture Robust Learning & Development Programs In-House Technology Training

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 Integrator: Act as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent Development: Hire, train, develop, and manage talent to meet organizational needs Global Collaboration: Act 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 Delivery: Oversee 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 Management: Manage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation Leadership: Foster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator Management: Ensure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial management: Oversee 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 Services: RedShift, S3, Athena, etc. and industry standard Data Warehousing technologies: Snowflake, 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

. Supply Chain Specialist About the Role Were looking for a Supply Chain Specialist who brings a strategic mindset, strong data fluency, and a passion for driving innovation. This role leads end-to-end analytics initiatives to enhance partner claims management, improve supply chain efficiency, and strengthen organizational resilience. Youll collaborate across teams to shape data-informed decisions and promote continuous improvement in our operations. ?? Key Responsibilities ?? Strategic Leadership & Analytics Execution Design and lead data-driven strategies to enhance claims processes, optimize costs, and improve supply chain agility. Implement large-scale analytics programs using automation, predictive analytics, and machine learning. Analyze partner claims for accuracy, identifying unapproved, misclassified, or out-of-scope spend. Work with stakeholders to maintain component pricing records and ensure all fields are accurate and all records are complete. Publish the quarterly pricing report and maintain an active record of changes. Engage with LTB team on LTB components and ensure partners are pricing with LTB material prior to moving to new material. Collaborate with cross-functional teams and senior leaders to align analytics strategies with business goals. ?? Data-Driven Insights & Innovation Define and refine KPIs and performance metrics to support continuous improvement. Analyze spend data to identify trends, forecasts, risks, and opportunities for optimization. Explore emerging technologies and practices to enhance analytics capabilities and sustainability. ?? Stakeholder Engagement & Influence Serve as a trusted partner to supply chain, operations, and finance teams, providing clear, actionable insights. Translate analytical findings into strategic recommendations to inform executive decision-making. Promote collaborative, cross-functional integration of analytics with business operations. ?? Leadership & Team Development Lead low- to medium-complexity projects and serve as the local point of contact for analytics execution. Help establish best practices in modeling, reporting, and analysis that foster transparency and equity in decision-making. Be accountable to team goals, participate in team projects and work collaboratively both inside and outside the team to advance the goals of the organization. Process Optimization & Automation Identify process inefficiencies and lead efforts to streamline workflows using AI and automation. Improve data pipeline reliability, consistency, and real-time analytics. Create repeatable frameworks for analytics to scale impact across the organization. ?? Qualifications Required Bachelor s or Master s degree in Computer Science, Data Science, Supply Chain, Operations Research, or a related field (equivalent experience also considered). 5+ years of experience in analytics, category/supply chain management, or ERP systems. Proficiency in statistical modeling, predictive analytics, and continuous improvement methods. Demonstrated success leading cross-functional teams and influencing decisions through data. Experience working in fast-paced, global environments. Preferred (Not Required) Advanced degree in a quantitative or analytical field. Experience managing multiple projects or programs simultaneously. Strong attention to detail; ability to spot trends, outliers, and inconsistencies. Proficiency with SQL, Python, R, and tools like Tableau, Power BI. Familiarity with data pipeline development and automation practices. ?? We Value Diverse perspectives and experiences that contribute to stronger outcomes. A growth mindset, curiosity, and continuous learning. Communication fosters inclusion, clarity, and collaboration. Wherever you are in the world, whether its downtown Sunnyvale or London, Westford or Bengaluru, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their lifes work. At Juniper we believe this is more than a job - its an opportunity to help change the world. At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We d love to speak with you. Juniper is an Equal Opportunity workplace. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.

We need someone who already has the skills to even call themselves a Senior Operations Manager! Inother words, someone who has at least 3 years of related working experience, preferably someone who has experience in being a Senior Manager/Director specializing in BPO Operations and Management or equivalent. We need someone who has handled at least 600 FTEs. Someone with strong computer skills, especially in using MS Office applications and Google applications. We need someone whos responsible and has a good track record of meeting and delivering targets. Someone who can articulate him/herself well enough with others, like teammates and clients. So definitely someone with excellent verbal and written communication and customer service skills. We need someone who can multitask and work in a fast-paced high-stress environment Someone who can lead and is great in analyzing situations and data. Someone who has the ability to build productive business relationships with clients. Someone who has strong organizational, analytical and managerial skills. Lastly, we need someone who possesses a professional, courteous, and resilient attitude.

Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple s supply chain and manufacturing processes. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. Youll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred Qualifications Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. Proven experience in leading and mentoring teams is a plus.

Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple s supply chain and manufacturing processes As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories Youll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company 4+ years experience formulating complex business problems into actionable data solutions. 4+ years hands-on experience in building large scale ML systems to solve real world problems. Master s or PhD degree in Computer Science, Math, Statistics, Physics, Engineering or related level of experience required. Strong communicator and experience with communicating complex ML outcomes to non-technical engineers. Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics. Experience working with large scale and real world datasets. Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch. Experience with ML in manufacturing and operations spaces are pluses. In particular, working with extensive and messy manufacturing data set, as well as deploying production ready model to the factory. Strong programming skills with 4+ years experience in Python for ML. Experience with full-stack ML development (e.g., Flask, JavaScript) and productionalizing ML system using AWS. Preferred Qualifications Experience with Operations Research (OR) and linear & nonlinear constrained optimization. Work experience in machine data (sensors, downtime, machine states, etc) for IoT & predictive maintenance applications. Experience with manufacturing and supply chain ML use cases such as test optimization, cost reduction, and quality improvement. Experience with ML for business decisions.

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Responsible for development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Support in providing budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Masters degree in Electrical Power Systems with thesis or related work in power systems 5 to 8 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems

What Youll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the clients specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the clients particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with clients internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What Youll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.? Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative?