302 Operations Research Jobs - Page 4

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 Master 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 proble Additional Information Relocation Assistance Provided: Yes

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. This position is a Quant Profile to support the activities of the Quantitative Research Group (cross asset classes) & Custody & Fund Services globally sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firm s booking models of exotic structures and also help in developing new models for structures as and when necessary. As a Quantitative Research Associate/Vice President within the Quantitative Research Group, you will partner with the Business to provide a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. You will play a critical role in providing effective, timely, and independent assessments of the Firm s booking models of exotic structures and help develop new models as necessary. You will be part of a team transforming business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets. Job Responsibilities Perform large-scale analysis on our proprietary dataset to solve problems never tackled before Identify new insights that drive feature modelling to generate nuanced insights Build models end-to-end, from prototype to full-scale production Make real-world, commercial recommendations through effective presentations to various stakeholders Leverages data visualization to communicate data insights and results Document and test new/existing models in partnership with control groups Implementation of models in Python-based proprietary libraries. Ongoing desk support Required qualifications, capabilities & skills A masters or Ph.D. degree program in computer science, statistics, operations research or other quantitative fields Strong technical skills in data manipulation, extraction and analysis Fundamental understanding of statistics, optimization and machine learning methodologies Build models end-to-end, from prototype to full-scale production, utilizing ML/ big data modeling techniques Knowledge in the development of models on cloud infrastructure Integrate and utilize LLM models for advanced model development and enhancement Possess basic knowledge of financial instruments and their pricing Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala Previous practical experience in solving machine learning problems using open-source packages Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience Preferred qualifications, capabilities & skills Participation in KDD/Kaggle competition or contribution to GitHub highly desirable Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. This position is a Quant Profile to support the activities of the Quantitative Research Group (cross asset classes) & Custody & Fund Services globally sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firm s booking models of exotic structures and also help in developing new models for structures as and when necessary. As a Quantitative Research Associate/Vice President within the Quantitative Research Group, you will partner with the Business to provide a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. You will play a critical role in providing effective, timely, and independent assessments of the Firm s booking models of exotic structures and help develop new models as necessary. You will be part of a team transforming business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets. Job Responsibilities Perform large-scale analysis on our proprietary dataset to solve problems never tackled before Identify new insights that drive feature modelling to generate nuanced insights Build models end-to-end, from prototype to full-scale production Make real-world, commercial recommendations through effective presentations to various stakeholders Leverages data visualization to communicate data insights and results Document and test new/existing models in partnership with control groups Implementation of models in Python-based proprietary libraries. Ongoing desk support Required qualifications, capabilities & skills A masters or Ph.D. degree program in computer science, statistics, operations research or other quantitative fields Strong technical skills in data manipulation, extraction and analysis Fundamental understanding of statistics, optimization and machine learning methodologies Build models end-to-end, from prototype to full-scale production, utilizing ML/ big data modeling techniques Knowledge in the development of models on cloud infrastructure Integrate and utilize LLM models for advanced model development and enhancement Possess basic knowledge of financial instruments and their pricing Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala Previous practical experience in solving machine learning problems using open-source packages Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience Preferred qualifications, capabilities & skills Participation in KDD/Kaggle competition or contribution to GitHub highly desirable

Overview This role supports the development of the next generation network design capability, enabling industry leading design capability for all Global business units, Sectors, and ND Global Capability Centers, across the End-to-End Value Chain. This role is responsible for analyzing and interpreting data to provide actionable insights that improve the efficiency and performance of the supply chain network while also supporting long-term growth. This is accomplished by partnering with the Global Network Design Modelers and stakeholders focusing on data-driven decision making, reporting, and supporting model development while testing new state-of-the-art optimization software. This will help enable identification of transformative projects that will deliver significant levels of profitability, efficiency, sustainability, and service, that align with the organizations global operational objectives. Responsibilities Collect, clean and analyse data to support network optimization projects Run scenario analysis and sensitivities using new and existing optimization tools Identify trends and bottlenecks in supply chain operations through data visualization Assist GND modeler in model validation and calibration using real-world data Collaborate with GND Modelers to test and refine optimization solutions Support ad-hoc analytics requests from business teams Develop dashboards and reports to communicate insights to stakeholders Ability to manage multiple tasks and priorities concurrently and work well under tight timelines Develops domain knowledge and Subject Matter Expertise (SME) in Network Modeling and analytics Qualifications Bachelors degree in operations research, Industrial Engineering/Supply Chain or similar 8-10 years of total experience with relavent 4+ years. Strong analytical skills with experience in Excel, SQL, and data visualization tools like Power, BI or Tableau Ability to handle large datasets and draw meaningful insights from them

Job Title:Cobol DevExperience:5-10YearsLocation: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.

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

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions using mathematical optimization techniques. In this role, you will be instrumental in shaping the future of manufacturing operations by creating innovative scheduling solutions that optimize complex business processes. As the ideal candidate, you should excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be proficient in applying innovative algorithms to achieve optimal solutions. Your primary responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges in areas like scheduling, routing, resource allocation, and inventory management. You will also be involved in identifying and modeling optimization problems across different manufacturing businesses and implementing robust optimization algorithms. In addition to this, you will be required to design, develop, and deploy machine learning models to analyze large datasets and generate insights that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. You will also need to keep abreast of the latest developments in optimization and computational intelligence and incorporate these advancements into problem-solving strategies. The qualifications we are looking for in a candidate include 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and experience with both non-commercial and commercial optimization solvers. Strong statistical analysis skills and effective communication skills are also essential for this role. Join Techtinium, a company passionate about innovative products, where you will be part of a diverse team dedicated to delivering superior software solutions. At Techtinium, your skills will be honed across the entire software development lifecycle in a positive, thought-provoking, and collaborative environment. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We look forward to welcoming you to our team!,

The Quant Analyst will be responsible for developing and validating models to estimate power demand, generation, and nodal prices. You will collaborate directly with traders to optimize portfolio construction using engineering techniques. A key aspect of your role will involve familiarizing yourself with energy markets and implementing innovative quantitative techniques. Additionally, you will collaborate with the risk management team to measure, analyze, and mitigate risks in our power trading business. Your responsibilities will include: - Collaborating with the nodal trading team to develop, manage, and enhance quantitative models for nodal power markets. - Conducting statistical analysis of electricity nodal market price and demand data. - Building statistical load/generation models using Time Series and Regression-based techniques. - Applying financial engineering techniques/models to enhance and optimize portfolio construction. - Developing metrics to assess market attributes and producing reports to quantify market behavior. - Utilizing Data Mining techniques to identify signals in semi-structured data sets. Requirements: - Bachelor's degree in Financial Engineering, Mathematics, Applied Mathematics, Operations Research, Electrical Engineering, Computer Science, Industrial Engineering, or Statistics. - 2-4 years of experience in developing, maintaining, and supporting analytical libraries and pricing models. - Proficiency in Python programming and SQL databases. - Understanding of statistical and probability principles in Finance. - Familiarity with optimization techniques and statistical learning methods. - Strong interest in comprehending the Energy Markets. - Entrepreneurial mindset with the ability to deliver results under pressure and a willingness to work in a collaborative team environment.,

ZS is a dynamic workplace where your passion can make a real difference in people's lives. As a leading management consulting and technology firm dedicated to enhancing life quality, our greatest asset is our talented team. At ZS, you will collaborate with a diverse group of innovative thinkers and experts, shaping transformative solutions for patients, caregivers, and consumers globally. Our approach prioritizes client needs, fostering impactful engagements that drive positive outcomes. We work closely with clients to design tailored solutions and technology products, generating value and driving business success across key areas. Our commitment to diversity and inclusion is at the core of our values at ZS. We recognize and celebrate the unique identities, experiences, and beliefs that define us as individuals. Your personal interests, identities, and thirst for knowledge are integral to your success here. Discover more about our initiatives for diversity, equity, and inclusion, and the supportive networks available at ZS to help our team members create inclusive spaces, access necessary resources, and amplify their voices. Insights & Analytics: ZS's Insights & Analytics team collaborates with clients to develop and implement solutions that address various business challenges. Our dedicated teams manage multiple projects concurrently, leveraging advanced data analytics and problem-solving techniques. Our recommendations are rooted in thorough research and analysis, supported by deep expertise and innovative thinking. Role Responsibilities: - Utilize quantitative skills to address clients" ongoing business analytics and reporting inquiries effectively. - Collaborate with clients to identify their specific business information requirements. - Develop and execute a tailored plan for analyzing data to address clients" unique business needs. - Identify and recommend the most suitable data for analysis in consultation with clients. - Evaluate and analyze data meticulously to provide solutions aligned with clients" business information needs. - Present data findings to clients, focusing on addressing business questions rather than technical processes. - Familiarize yourself with clients" internal processes promptly. - Build expertise in a specific client analytics area. - Provide client support during regular business hours. Candidate Requirements: - MBA with a bachelor's degree in a quantitative or analytical discipline, or a related field. Alternatively, candidates may have a PhD in a relevant area with business applications. Substantial work experience (5-8 years) may be considered in place of an MBA or PhD. - 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA relevant work experience, showcasing strong analytical skills. - Proficiency in advanced modeling techniques and tools such as R, SAS, Tableau, or VBA. - Strong motivation, work ethic, maturity, and initiative. - Ability to lead and manage teams effectively. - Excellent oral and written communication skills to engage with senior decision-makers. - Detail-oriented with a focus on quality. - Analytical problem-solving abilities with a creative and innovative mindset. - Client-centric approach to service delivery. Perks & Benefits: ZS provides a comprehensive total rewards package encompassing health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, diverse career progression options, internal mobility paths, and collaborative culture empower you to excel as an individual and a global team member. We promote a flexible and connected work environment at ZS, allowing a balance between work-from-home and on-site presence at clients/ZS offices. This blend enables us to leverage the best of both worlds for enhanced collaboration and innovation. Travel Requirements: Travel is a fundamental aspect of client-facing roles at ZS, with project and client needs taking precedence. While some projects may be local, all client-facing team members should be prepared for travel as necessary. Travel opportunities facilitate stronger client relationships, diverse experiences, and professional growth in varied environments and cultures. Application Process: ZS is committed to fostering a diverse and inclusive workplace where individual passions drive impactful change and better outcomes for all. We value candidates from all backgrounds and encourage applicants to apply even if they do not meet 100% of the listed requirements. ZS is an equal opportunity employer, dedicated to providing fair employment opportunities without discrimination based on any protected class. To Apply: Candidates must have or be eligible to obtain work authorization for their intended country of employment. An online application, along with a complete set of transcripts (official or unofficial), is necessary for consideration. We kindly request no agency calls during the application process. Learn More About Us: Visit www.zs.com for more information about ZS and our commitment to driving positive change through innovative solutions and inclusive practices.,

1. District-wise Philanthropic Mapping o Conducting research to identify HNIs, industrialists, and business owners originally from or associated with Educate Girls 80+ operational districts across Rajasthan, Madhya Pradesh, Uttar Pradesh, and Bihar. o Compiling comprehensive profiles including background, net worth, key business interests, known philanthropic activities, foundation details (if applicable), and current social and philanthropic affiliations. o Identifying companies owned/managed by the philanthropists headquartered in, operating from, or having significant presence in the identified districts. o Researching their CSR interests, flagship programs, previous non-profit partnerships, and priority focus areas in alignment with Schedule VII of the Companies Act. 2. Data Management o Capturing all findings in structured formats using Google Sheets/Excel, with clearly categorized columns for each data point. o Ensuring consistency, accuracy, and source-based verification of data. 3. Weekly Progress Reviews o Participating in weekly research review meetings to track progress, resolve challenges, and fine-tune research strategies. o Presenting key findings and insights at the end of the internship. Required Skills and Qualifications 1. Strong research and analytical skills with the ability to navigate public and online databases. 2. Proficiency in MS Office and Google Workspace (especially Excel/Google Sheets, PowerPoint). 3. Attention to detail and data accuracy. 4. Strong written and verbal communication skills. 5. Background in social sciences, business, public policy, or development studies is

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. Youll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Targets Stores. Gain an in-depth understanding of systems and processes influencing stores efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving stroes operating model. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Know More Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: We are looking for candidates who meet the following criteria: Bachelors/Masters/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field. 3+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial). Strong proficiency in Python and Spark for developing and deploying optimization-based solutions. Solid understanding of operations research techniques and their application in real-world business problems . Demonstrated experience working on end-to-end solution delivery , preferably with production-grade implementation. Strong verbal and written communication skillsable to translate technical detail into business insight, and vice versa. Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity. Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams. Preferred Experience: Experience building large scale optimization models/ ability to build models with smart heuristic solutions Familiarity with supply chain or e-commerce fulfillment data and business processes. Experience working with large datasets. Experience deploying solutions at scale for business impact. Background in clean code practices, version control (Git), and collaborative development environments. Know More Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

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

As an Assistant Professor of Management at Invertis University, you will be tasked with teaching undergraduate and postgraduate students. Your responsibilities will include conducting research in the related field, motivating students to engage in research activities, participating in departmental tasks such as committee work and student evaluation, and collaborating with industry partners to apply academic concepts practically. The ideal candidate for this position should hold a Doctorate Degree (Ph.D.) in Management, along with a Master's degree from a recognized university and a valid UGC NET qualification. Additionally, you should have a minimum of 1-6 years of teaching experience, possess a good personality, and have excellent spoken English skills. This role requires expertise in one or more of the following specializations: - Accounting & Finance - Economics - Computer Fundamentals and E-commerce - General Management - Statistics and Operations Research If you meet the eligibility criteria and are interested in this position, please apply through the Google form provided in the job listing. For any queries or clarifications, feel free to contact us at recruitment@invertis.org.,

We are seeking a Decision Scientist to join our team and play a vital role in aligning data-driven solutions with business objectives, optimizing decision-making processes, and promoting a culture of data-driven business solutions. The ideal candidate should possess a deep understanding of statistical learning, hypothesis formulation, and a proactive problem-solving approach. SatSure is a deep tech, decision intelligence company that operates at the intersection of agriculture, infrastructure, and climate action, making a positive impact in the developing world by leveraging insights from earth observation data. As part of our team, you will have the opportunity to contribute to building a cutting-edge tech company based in India that addresses global challenges. Responsibilities: - Understand business objectives and develop models to support their achievement, while establishing metrics to monitor progress. - Enhance existing DS/ML models in production and explore new opportunities in collaboration with clients. - Collaborate with cross-functional teams to drive and implement optimized decision-making solutions. - Promote a culture of data-driven business solutions within the organization. - Study the relationship between remote sensing data and other auxiliary datasets. - Work with data scientists to contribute to study protocols and design. - Develop and execute data quality assurance plans. - Stay informed about the latest developments in statistical learning and quality assurance. - Define metrics for assessing product enhancements and manage reporting and tracking. - Formulate hypotheses and design experimental frameworks for metric testing. - Proactively identify and pursue opportunities for new solutions. Qualifications: - 5-8 years of work experience. - Master's degree in Mathematics, Statistics, Business Analytics, Computer Science, or a related field. Required Skills: - Proficiency in data manipulation and analysis using Python or R, as well as SQL for database querying. - Familiarity with data visualization tools (e.g., Tableau, Power BI) and data preparation tools (e.g., Pandas, NumPy). - Strong analytical and problem-solving skills, including expertise in statistical and machine-learning techniques. - Excellent communication skills to convey technical findings in a clear and actionable manner to non-technical stakeholders. - Business acumen with knowledge of the banking, finance, and agriculture sectors. - Attention to detail, commitment to data accuracy, and results-driven mindset. - Domain knowledge in financial modeling, DS/ML, operations research, decision support, and business intelligence. Preferred Skills: - Experience in team leadership or management. - Background in financial modeling and credit scoring. - Ability to communicate technical results effectively to diverse audiences. Benefits: - Medical health coverage for you and your family, with unlimited online doctor consultations. - Access to mental health experts for you and your family. - Learning and skill development allowances. - Comprehensive leave policy, including casual leaves, paid leaves, marriage leaves, and bereavement leaves. - Bi-annual appraisal cycle. Interview Process: - Introductory call - Assessment - Presentation - Multiple interview rounds (typically 3-4 rounds) - Cultural/HR round,

You should possess a Ph.D. or M.B.A with a specialization in Operations research to be considered for the role. Relevant teaching experience at Amity University, Noida will be an added advantage. If you meet these qualifications and are interested in the position, please submit your resume to abaroka@amity.edu by the 31st of December 2024.,

About the Role Are you someone passionate about making a positive impact through research? Join us as an Impact Research Lead and be a beacon of change in our evolving journey. We invite individuals who approach challenges thoughtfully, who aspire to utilize their education and skills to contribute to a better world while taking a leadership role. Responsibilities Leading all research efforts within the organization, including the hands-on collection, meticulous cleaning, and rigorous analysis of operational and impact data, sourced from clients or publicly available datasets. Developing and implementing innovative research methodologies to uncover insights and trends, leveraging various data sources and analytical tools to inform strategic decision-making and drive organizational growth. Collaborate with clients on deliverables Impact Report, Data Modules, Insights and Recommendations. Work with various frameworks including but not limited to IRIS+, EEIO, GHG Protocols, SBTi, SROI Analysis, SDG Mapping etc. Stay on top of all regulations and frameworks globally in ESG, Impact & carbon accounting domain. Lead the creation of unique templatized models for impact assessment that can be applicable across use-cases within specific domains. Mentor a team of junior researchers on research, client deliverables and Training. Assist in product development and services outreach, impact communications, and coordination. Education Master s (Social Sciences, Sustainability, Energy, Public Policy or related fields) with 5 years of relevant experience OR PhD with significant research training and quantitative analysis. Proficiency with quantitative analysis using software packages such as R, Stata, Python or equivalent. Deep passion for sustainability and a demonstrated commitment to making a positive impact. Excellent writing and communications skills, particularly academic and report writing. Excellent project management skills and the ability to convert targets and deliver on time. Knowledge and experience in Impact Economics, Impact Valuation, Carbon Accounting, ESG and Sustainability domain will be an advantage. Specific domain expertise around sustainability such as textiles, circular economy, conservation, waste management etc. will be preferred. This role will be ideally in Auroville, India office but can be flexible based on the candidate. Approximately 10-15% travel is anticipated in India & USA.

As an Operations Research Analyst at Kiana AI, you will apply advanced analytical and mathematical techniques to solve complex problems and improve operational efficiency. You will work closely with cross-functional teams to identify areas for improvement, develop optimization models, and implement solutions that enhance our business processes. Requirements Key Responsibilities: Conduct quantitative analysis and modeling to optimize business operations and decision-making processes. Develop and implement optimization models, simulations, and algorithms to solve complex problems. Analyze data to identify trends, patterns, and areas for improvement. Collaborate with stakeholders to gather requirements and define project objectives. Present findings and recommendations to management and other stakeholders. Monitor and evaluate the performance of implemented solutions to ensure effectiveness. Stay up-to-date with the latest advancements in operations research and analytical techniques. Qualifications: Bachelor s or Master s degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field. Ph.D. is a plus. Proven experience in operations research, optimization, and quantitative analysis. Strong proficiency in programming languages such as Python, R, or MATLAB. Experience with optimization software and tools (e.g., CPLEX, Gurobi). Solid understanding of statistical analysis, mathematical modeling, and simulation techniques. Excellent problem-solving skills and attention to detail. Strong communication and presentation skills to convey complex findings to non-technical stakeholders. Ability to work independently and as part of a team. Preferred Skills: Experience in a specific industry (e.g., healthcare, finance, logistics) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning and AI techniques. About the Company Kiana AI is a leading generative AI consulting firm dedicated to helping businesses harness the power of artificial intelligence to drive innovation and success. We are seeking a skilled Operations Research Analyst to join our team and contribute to optimizing our operations and decision-making processes.

Job description - Perform monthly and quarterly profit and loss (P&L) reconciliations and analyze between various systems. Verify trade economics with contract document, Trade validation and documentation Assess new private investments for appropriate accounting treatment and ensure all relevant deal information in data warehouse is accurate. Ensure the accounting treatment of investment restructurings are accurately booked and properly flowing into downstream systems. Work collaboratively with other groups, including Operations, Risk, Tax, Technology and Accounting. Prepare P&L and other ad-hoc financial analysis. Review fair valued prices and accruals on various types of financial instruments to ensure they are accurate in clients systems and appropriately calculating P&L. Work and drive innovation-related initiatives, including workflow automation and data analytics projects to improve functional effectiveness and efficiencies. Review and advise corrections to reporting based on reconciliations between the Accounting Team, Operations and third party administrators to ensure the data integrity of accounting information. Reconciliation of Par, Cash and Transactions. Good with excel Review daily cash reconciliations prepared by Operations between prime brokers/custodians and the client data warehouse for breaks that could have a potential P&L impact.

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

We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science and generative AI, including LLMs (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Responsibilities: Collaborate with a larger science team to develop innovative science solutions in response to business requirements. Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data. Write high quality code to power experiments and build models. Contribute to writing production model code. Collaborate with data engineers to provide guidelines for data collection and annotation. Collaborate closely with cross-functional teams to deliver solutions into various applications and products. Identify new opportunities for scientific exploration and evaluate emerging technologies. Qualifications and Experience: PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in AI/Generative AI/Machine Learning in an industry setting. Publication record in first-tier journals or conferences. Hands-on experience in generative AI and model/application evaluation. Proficiency in Python, SQL, Spark. Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong communication abilities.

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Automation Anywhere Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. 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.- Facilitate training and knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Automation Anywhere.- Strong understanding of process automation and optimization techniques.- Experience with application design and development methodologies.- Familiarity with project management tools and practices.- Ability to analyze and troubleshoot application issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in Automation Anywhere.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

The Routing and Planning (RaP) organization, within the Last Mile Technology (LMT) organization, plays a pivotal role in Amazons mission to deliver packages to billions of customers worldwide. Our goal is to create the most efficient, reliable, and high-quality route plans for our drivers while ensuring safe, low-touch, and high-throughput solutions for operations. We re challenged to constantly improve and innovate on our routing and planning software to support Amazons promise of fast and reliable deliveries. The technology that are developed by our teams include a wide breadth of solutions from Machine Learning (ML) and Operations Research-based routing and planning algorithms, in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together. We are looking for a Software Development Manager with exceptional technical skills and a passion for delivering great software to join our team. As a member of this team, you will be responsible to own and deliver highly visible, innovative projects that directly impact the customer experience. You will be involved in driving the technical and architectural vision for a planning team that touches every Amazon package, as well as all the aspects of the software development cycle including scoping, design, implementation, testing & delivery of our product. 7+ years of engineering experience 3+ years of engineering team management experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

EliteRecruitments Hiring For Banking Assistant Operations Manager Description An Assistant Operations Manager in a bank supports the Operations Manager in overseeing daily banking operations, ensuring efficiency, compliance, and customer satisfaction. They manage staff, implement process improvements, and contribute to strategic planning. This role involves a mix of leadership, operational oversight, and compliance management. Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

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