309 Operations Research Jobs - Page 13

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?

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : Hotel and Lodging Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows. Identify inefficiencies in existing processes and propose solutions to optimize effectiveness. Collaborate with business users to define detailed product requirements and use cases. Design continuous monitoring and feedback collection to refine processes over time. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Implement workflow enhancements to increase efficiency Professional & Technical Skills: Must To Have Skills:Proficiency in Hotel and Lodging Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of business process modeling tools Ability to identify and implement process automation solutions Additional Information: The candidate should have a minimum of 5 years of experience in Hotel and Lodging This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : Agile Requirement Management Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows, identify inefficiencies in existing processes, propose solutions to optimize effectiveness, collaborate with business users to define detailed product requirements, and design continuous monitoring and feedback collection for process refinement. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Lead process design workshops with stakeholders Implement process automation solutions Professional & Technical Skills: Must To Have Skills:Proficiency in Agile Requirement Management Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of product requirement gathering and use case definition Hands-on experience in continuous monitoring and feedback mechanisms Additional Information: The candidate should have a minimum of 7.5 years of experience in Agile Requirement Management This position is based at our Gurugram office A 15 years full time education is required Qualifications 15 years full time education

1:Design, optimize, and implement thermal management systems for data centers, including liquid, and cryogenic-based cooling technologies. Explore and integrate advanced cryogenic cooling systems or hybrid solutions to improve cooling efficiency in high-density, highperformance computing environments. 2:Develop and test prototypes of thermal systems, including liquid cooling solutions, heat exchangers, and evaporative cooling technologies tailored to the specific needs of data centers. 3: Analyze system performance through real-time data collection and temperature monitoring, making recommendations for improvements or adjustments to cooling systems. 4: Prepare detailed technical reports, specifications, test protocols, and operational guidelines related to thermal systems and cryogenic cooling in data centers. 5: Keep abreast of emerging trends, new technologies, and best practices in data center cooling, including energy-efficient designs and cryogenic innovations. Skills Required: Data Centre Design & Research Experience: Capabilities and Skills Must have Skills: 1 Strong understanding of heat transfer, thermodynamics, and fluid dynamics, especially in high-density cooling environments. 2 Hands-on experience with data center cooling systems (e.g., liquid cooling, air cooling, and immersion cooling) 3 Experience with cryogenic technologies and their potential applications in data center cooling 4 Experience working with cross-functional teams including IT, infrastructure engineers, and operations to implement cooling Work Arrangement : Onsite

Develop and execute approaches to analyze variety of Healthcare and Life sciences datasets, primarily creating reports on exploratory data analysis and statistical reports Strong proficiency with manipulating data with PL-SQL ( ORACLE 11g) A high comfort level with data manipulation and extraction of meaningful insights from large data and prior experience of working with IMS Health data assets or Patient level data (APLD) data is a plus. Experience with SQL/SAS/WPS is acceptable. Minimum 3 to 5 years of experience of working with pharmaceutical databases, including patient level transactional data, Claim analytics is preferred. Being creative in identifying new techniques and processes to streamline and increase efficiency and effectiveness of current work-streams is a plus. High level of attention to detail and problem solving Exposure on various Healthcare data sources like SHS, IQVIA, DRG , Labcorp, Flatiron Experion etc Have strong experience claims data and worked on various patient level data analytics like Adherence Studites, Line of therapy and Treatment Path analysis. Experienced on HEOR studies. Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously. Professional requirement Post graduate degree in Economics, MBA, Statistics, Mathematics, Operations Research, Quantitative Analysis, or related field we'll-organized, capable of handling several projects at a time while meeting deadlines 3-5 years of consolidated work experience in Analytic Industry. Strong statistical and quantitative analysis skills. Knowledge of Statistical Analysis for Advanced knowledge of PL/SQL and experience with statistical packages such as R/SAS Strong problem solving skills Excellent data interpretation skills. Experience in using charting/reporting Skilled in MS-Office, specifically Excel and Powerpoint Should have strong knowledge of Healthcare domain OR any specific knowledge on Retail and FMCG/CPG industry will be an added advantage. Knowledge on Pharmaceutical Rx claims/ Medical claims will be an added advantage Intermediate to advanced proficiency in Excel and VBA Automate data analysis in support of the client office s principals and consultants Utilize SAS/WPS/R to create and automate analytical and modeling processes Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. The data scientist will be a member of the data analytics team and will lead efforts around building big data, data science, data quality, and BI/MI/AI solutions. An ideal candidate will have a growth-oriented, lean-startup attitude for building hands-on data science solutions. The ideal candidate will propose, experiment, implement, and operationalize advanced predictive, preemptive data solutions designed to help traveler, travel-manager, supplier, and client outcomes. The role will span full-scale product, enterprise, and operational data science. The candidate will focus and thrive in a hands-on applied role; they will demonstrate a strong penchant for quantitative, collaborative, outcome-oriented solutions-engineering. The candidate is expected to possess some of these key skills/technologies: ML: statistics regression classification clustering frequent association mining text analytics graph analytics recommendation systems time series analytics geospatial analytics heuristic methods connectionist systems evolutionary methods montecarlo studies Programming: python r Big Data: data visualization jupyterlab presto bi tools spark Artificial Intelligence: deep learning computer vision recommendation systems natural language understanding Solutions Engineering: mobile (flutter) development azure, aws, gcp angular, react, vue docker/kubernetes/terraforms ci/cd/ct What Youll Do: Develop end-to-end decision science systems to support business imperatives - internal and external; descriptive and prescriptive. Be a hands-on guide; partner with business and technology customers to design and implement scalable big data solutions. Scan and capitalize on new products, platforms, processes, and algorithms which can bolster traveler, supplier, travel manager, travel consultant experience. Participate in the travel innovation office; build a strong collaborative research portfolio of travel solutions with our clients, travelers, partners, and suppliers. Be passionate to develop, teach, learn, operationalize, and scale citizen decision science. What Were Looking For: Experience preferably with big data solutions & approaches Subject matter knowledge in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies. Hands-on experience analyzing large amounts of data to derive actionable insights Good communication skills and partnerships with technology, product strategy, and data office. Experience collaborating and influencing senior leaders, business partners across time zones. Self-starter and autonomous; work with a distributed team and demonstrate a strong sense of ownership Degree or equivalent experience in statistics, computer science, mathematics, operations research, economics, engineering or information science A strong portfolio of GitHub, Kaggle, IP contributions. Location India The #TeamGBT Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement .

Develop Security Solutions: designing, developing, and implementing software solutions to enhance the security posture of the organization. Develop and evaluate large-scale machine learning models systems Research: Researching new techniques and tools to enhance the organizations cyber defense capabilities. Present findings to business and executive audiences Collaborate with engineers and product managers to implement ideas and plan future roadmaps Optimize retrieval-augmented generation (RAG) systems for enhanced performance and relevance. Fine-tune large language models (LLMs) to improve predictive accuracy and operational efficiency. Implement agentic workflows to streamline processes and enhance decision-making. Collaboration and Communication: Work closely with cross-functional teams such as IAM, network operations, incident response, and compliance to implement ideas, plan future roadmaps and ensure a cohesive approach to cybersecurity. ---- Basic Qualifications ---- Ph.D., MS or Bachelors degree in Statistics, Operations Research, Computer Science, Engineering, or other quantitative field 5+ years of industry experience in software engineering Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models. Knowledge of experimental design and analysis Ability to use a language like Python or R to work efficiently at scale with large data sets ---- Preferred Qualifications ---- Knowledge in modern machine learning techniques applicable to Cybersecurity domain Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Experience working with large scale data sets using technologies like Hive, Presto, and Spark Experience with synthetic data generation. Proficiency in fine-tuning and optimizing large language models (LLMs). Experience in retrieval-augmented generation (RAG) systems. Familiarity with agentic workflows and their applications in machine learning and AI systems.

Hundreds of millions of customers, billions of transactions, petabytes of data How to use the world s richest collection of e-commerce and device usage data to acquire new customers, target existing customers, and predict customer behavior? Amazon s Consumer Behavior Analytics team seeks a Data Science Manager for building analytical solutions that will address increasingly complex business questions. We are seeking an exceptionally talented leader to lead one of our Data Science teams and develop a long-term roadmap for analytic capabilities. This is an opportunity to join a group with a broad charter and stakeholders across Amazon. Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. As a Data Science Manager in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will have leadership for our team of data scientists and play an integral role in strategic decision-making. Key Responsibilities - Define, build, and lead a team of Data Scientists - Discover areas of the customer experience that can be automated through machine learning - Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets. - You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. - You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems. - You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion - You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training - Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers - 5+ years of building quantitative solutions as a scientist or science manager experience - 2+ years of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Staff Data Scientist Location: India Ref: REF1492Y Job Function: Information Technology Company Description John Crane, a business of Smiths Group, is a global leader in mission-critical flow control solutions for energy and process industries that enable efficient and sustainable operations. Our products include mechanical seals and systems, couplings, bearings, filtration systems, and predictive digital monitoring technologies. We have a global network of more than 200 sites in over 50 countries and employ more than 6,000 people worldwide. We partner with our customers to help them keep their operations safe, reduce downtime, improve efficiency, and meet the latest environmental standards. John Crane is part of Smiths Group. For over 170 years, Smiths has been pioneering progress by engineering for a better future. We serve millions of people every year, helping to create a safer, more efficient, productive, and better-connected world across four global markets: energy, security & defence, space & aerospace, and general industrial. Listed on the London Stock Exchange, Smiths employs approximately 16,000 colleagues in over 50 countries. Job Description Duties & Responsibilities: Work on a team designing innovative software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate Perform in-depth exploratory analysis of data from the field and laboratory experiments Acquire domain knowledge about mechanical systems to aid in interpretation, analysis, and model building. Display drive and curiosity to understand the business to its core Develop applications according to requirements using a variety AI/ML and analytical techniques Maintain and update the analytics software platform (Python) Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLops Keep abreast of developments in the field Collaborate with engineering and product development teams Provide day-to-day guidance and technical leadership to the data science team: collaborate with team members on their work, perform code reviews with a view to ensuring robust software deployments and implementing best practices, etc. Qualifications Minimum 12 years relevant experience Expertise with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.) and with common machine learning approaches (generalized linear models/regression, clustering, tree-based methods, deep learning, etc.). Prior experience implementing data pipelines (cleaning and ETL processes) and MLops (deployment with CI/CD pipelines, monitoring, and model version control) is a plus Experience using data to monitor the function and health of mechanical equipment, or with designing or modeling physical systems, is a significant bonus Proven experience in leading challenging data science projects A bachelor s or advanced degree in computer science, data science, operations research, applied mathematics, engineering, physics, or related field. Experience in more than one area is strongly preferred Strong knowledge of math, probability, statistics, and algorithms Excellent data visualization skills Takes pride in writing clean, robust, production-ready Python code Adept in agile development methodologies Outstanding analytical and problem-solving skills Must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment Candidates must be curious, creative, self-driven, and energetic self-starters Excellent written and verbal communication skills