7 Optimization Models Jobs

The Data Science Lead role is a strategic position where you will stay updated on the latest developments in the field and contribute to the directional strategy by applying these developments to your job and the business. As a recognized technical authority within the company, you will need to possess basic commercial awareness. Your role will have a significant impact on the business through the delivery of complex outcomes. Communication and diplomacy skills are essential as you will be required to guide, influence, and convince others, including colleagues from different areas and occasional external customers. Your work will impact an entire area, ultimately affecting the overall performance and effectiveness of the sub-function/job family. Responsibilities: - Conduct strategic data analysis, identify insights, implications, and make strategic recommendations while developing data displays that clearly communicate complex analysis. - Mine and analyze data from various banking platforms to drive optimization and improve data quality. - Deliver analytics initiatives to address business problems, determine required data, assess time & effort, and establish project plans. - Consult with business clients to identify system functional specifications, applying a comprehensive understanding of how multiple areas integrate to achieve business goals. - Lead system change process from requirements through implementation, providing user and operational support to business users. - Formulate and define systems scope and goals for complex projects, considering business implications of technology applications and communicating risks and impacts. - Drive communication between business leaders and IT, exchange complex information, conduct workflow analysis, and develop use cases, test plans, and business rules. - Collaborate on the design and implementation of workflow solutions for scalability, reliability, performance, and integration with reporting. - Develop in-depth knowledge of supported business areas, engage business partners in evaluating process integration opportunities, and gather requirements across Business Sectors. - Partner with cross-functional teams to analyze current state processes, identify improvement opportunities, and negotiate for resources to ensure timely completion of work. - Develop and maintain documentation, train users, and communicate status, issues, and risk disposition to stakeholders. - Identify risks affecting project delivery, develop mitigation strategies when necessary, and ensure work flow business cases align with business objectives. - Develop strategies to reduce costs, manage risk, and enhance services, ensuring technology solutions meet business requirements. - Perform other assigned duties and functions. Qualifications: - MBA or Advanced Degree in Information Systems, Business Analysis, or Computer Science. - 10+ years of experience using statistical modeling tools for large data sets. - Proficiency in data handling suites such as PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages. - Ability to extract strategic insights from large data sets, design and implement machine learning models, and utilize Statistical, Machine Learning, and AI techniques. - Experience in visualization tools like Tableau, POWER BI, etc. - Strong core python developer with expertise in building high-scaled software platforms for data computation. - Expert knowledge of core python concepts, libraries, computer science fundamentals, and Unix-based operating systems. - Experience with source code management tools like Bitbucket, Git, and process improvement or project management. Education: - Bachelors/University degree or equivalent experience, potentially Masters degree. Additionally, exposure to cloud platforms like AWS, Azure, GCP, and experience in the banking domain like pricing, risk, or certifications like CFA/FRM would be advantageous for this role. This job description offers a comprehensive overview of the tasks involved in the position. Other duties related to the job may be assigned as necessary.,

About this role: Wells Fargo is seeking a Software Engineering Manager. In this role, you will: Manage, coach, and develop a team of individual contributor engineer roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices Interact directly with third party vendors and technology service providers Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications: 4+ years in data & analytics engineering experience 3+ years experience with Agile development or DevOps methodologies. 4+ years experience in ETL (Extract, transform, loading) processing data analytics, and data visualization. Experience with Data science, Machine learning, optimization models, exploratory data analysis(EDA) Experience working with a variety of data sources to including SQL, Oracle, and various data marts. Oversee day to day activities for IAM data engineering and lead a team of 7+ of team members Lead an agile engineering team supporting technology solutions development across multiple product or capability domains. Partner with business product managers, lead systems architects, and senior engineers to develop product functional and technical strategy for the domain(s), including development of actionable short and long-term product roadmaps and shaping prioritized features. Oversee engineering teams to deliver commitments aligned to strategic product priorities. Collaborate within and across agile teams to design, test, implement, and support technical solutions in full-stack development tools and methodologies. Ensures the craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers. Support implementation of features spanning multiple teams for multiple product or capability domains. Partners with product managers to drive business outcomes. Ensure compliance and risk management requirements for supported area are met. Ensures that key areas of technology risk including security, stability, and scalability are addressed in products and capabilities within the domain(s). Interface with third party vendors and technology service providers. Lead a team of individual contributor engineers Plan, measure and monitor health of operations with KPIs and KRIs. Lead initiatives like predictive trend analysis, continuous improvement thru automations and cross trainings. Responsible for recruitment of top engineering talent, performance management and team development. Accomplish results by communicating job expectations, planning, monitoring, appraising job results and coaching. Mentor and guide the professional and technical development of senior engineers. Accountable for forecasting, capacity planning, building high performing teams and monitoring the success of integrated service delivery. Ensure smooth delivery of projects/ operations with strong focus on quality and value creation for the organization/enterprise. Knowledge in IAM controls - Identity, Access, Authentication, Authorization and Directory Space. Expertise in information security industry and regulatory standards, policies, procedures and control systems Excellent leadership, stakeholder management and project management skills. Extremely good in verbal, presentation, written, and interpersonal communication skills. Good negotiation, conflict resolution and decision making skills. Effective people management experience with managing managers and team members Bachelors or Masters degree in TechnologyEngineering Industry certification like Cyber Ark, CCNA, VCP, CISSP, CISM in good standing for over 3 years Experience in Banking organization Managed service delivery certifications like ITIL, PMP will be beneficial Experience with various reporting tools, SSRS, Tableau and other Business Intelligence (BI) tools. Experience with ETL tools such as NDM, Autosys, SSIS, etc

We are seeking a self-motivated and energetic Reporting and Analytical professional to join our Global Human Resources (GHR) Workforce Analytics and Insights Team. As an Analyst, you will play a key role in supporting the evolution of our reporting function by providing timely and high-quality reporting and analysis on HR data. Your insights will help identify trends and guide global business decisions. Additionally, you will collaborate with internal teams to enhance reporting processes and optimize delivery solutions to align with State Street's strategies. This role also involves supporting technology platforms, implementing functionality, and ensuring maintenance. Key Responsibilities: - Managing ad-hoc reporting and analysis needs - Establishing collaborative relationships with internal clients, HR Centers of Excellence (CoEs), HR Business Partners (HRBPs), corporate functions, and business leaders - Providing consultation, data interpretation, and presentation services, managing all phases of reporting projects - Designing and developing metrics, intuitive reports/dashboards, and visual aids for actionable insights - Documenting/updating reporting processes, identifying opportunities for standardization and efficiency improvements - Collaborating with team members to share knowledge, remove roadblocks, and find optimal resolutions - Building and maintaining HR Data Governance Structure and Dictionary - Connecting with the HR analyst community, supporting knowledge sharing and best practices - Translating data insights into actionable recommendations - Determining analytical approaches to evaluate scenarios and potential outcomes - Applying statistical techniques and mathematical analyses to analyze large datasets Qualifications And Required Skills: - Bachelor's degree in Human Resources, Business, Finance, Computer Science, or Information Management preferred - 5+ years of experience with SQL, R, and data visualization tools like Tableau - Knowledge and hands-on experience with Workday - Strong technical skills with expertise in MS Office Suite, including Advanced Excel, PowerPoint, and Visio - Prior experience with Optimization models - Strong verbal and written communication skills for non-technical audiences - Ability to thrive in a fast-paced, changing environment and manage ambiguity - Proven ability to work independently and in a team setting - 7-10 years of experience in HR reporting and analysis is a plus - Demonstrated business acumen, analytical, and problem-solving skills About State Street: State Street is a global leader that institutional investors rely on to manage risk, respond to challenges, and drive performance and profitability. Our commitment to creating an inclusive and engaging environment where employees can reach their full potential is reflected in our values. We provide tools for work-life balance, paid volunteer days, and access to employee networks that matter to you. Join us at State Street, an Affirmative Action/Equal Opportunity Employer/Vet/Disability. Job ID: R-756245,

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

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

As an AspenTech Developer, you will be responsible for implementing, customizing, and supporting AspenTech's suite of software tools, particularly in the Supply Chain Management (SCM) and process optimization domains. Your role will involve collaborating closely with business analysts, clients, and technical teams to deliver solutions that enhance operational efficiency in industries such as oil & gas, chemicals, and manufacturing. Your key responsibilities will include developing and configuring AspenTech applications such as Aspen PIMS and Aspen Supply Chain Planner, participating in system integration, testing, and validation, deploying AspenTech models, managing production releases, providing post-deployment support and troubleshooting, as well as creating and maintaining technical documentation and user guides. Additionally, you will collaborate with cross-functional teams to gather requirements and deliver solutions effectively. To excel in this role, you should possess hands-on experience with AspenOne SCM tools, a strong understanding of supply chain processes and optimization models, proficiency in data integration, scripting, and reporting tools. Familiarity with SQL, Python, or other scripting languages will be advantageous. Moreover, your good communication and problem-solving skills will be essential for success in this position. You should also be comfortable working in Agile or hybrid project environments. If you are looking to leverage your expertise in AspenTech applications and supply chain optimization to drive operational efficiency and deliver innovative solutions in dynamic industries, this role offers you an exciting opportunity to make a significant impact.,

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,