1811 Data Mining Jobs - Page 13

The role aims to facilitate visual interpretation of data from various sources and utilize this information to create data-driven solutions based on client requirements. You will be responsible for developing valuable insights from multiple data sources as per the client's needs. This includes engaging with customers to understand their objectives, technology trends, and requirements to define the final output of the data. You will develop wireframes, prototypes, and use cases to demonstrate the required data output to the customer. Additionally, you will analyze, propose, and implement data technology and tools for data visualization, validate solutions, and ensure the final data output aligns with business needs. You will also be involved in designing and implementing data visual aspects, such as building data visualization capabilities for BI dashboards and solutions. This will involve using various data mining and analysis methods, data tools, models, and semantics. Collaboration with other data architects to establish data governance processes and manage metadata and data assets will be crucial. Furthermore, you will support the pre-sales team by presenting data designs and principles to clients, negotiating requirements, and demonstrating technical expertise. Capability building and team management are essential aspects of the role, including ensuring completion of necessary training, developing Wipro's viewpoint on data visualization concepts, and mentoring team members for career growth. Performance will be measured based on project delivery quality, architecture, and adherence to cost, quality, and timeline parameters. Join Wipro to be part of a modern, end-to-end digital transformation partner that encourages reinvention and constant evolution. Your ambition and skills will be empowered to design your own reinvention within a purpose-driven business. Applications from individuals with disabilities are encouraged to apply.,

The Lead Analyst role at our organization involves providing support across various departments to enhance revenue and profitability. You will play a crucial part in implementing pricing strategies and policies by utilizing analytical and data intelligence frameworks. Additionally, as a lead within the Pricing team, you will be responsible for developing recommendations based on both quantitative and qualitative analysis and may be required to present to senior management. Your main responsibilities will include acting as a technical pricing expert on complex subjects, supporting management in analyzing and applying complex information, and contributing to the achievement of divisional and corporate goals. You will also be involved in designing and implementing processes and solutions related to diverse data sets for data mining and analysis to facilitate informed business decisions. In terms of core competencies and professional experience, you are expected to have a solid understanding of Enterprise Pricing/SAM Pricing aligned with commercial strategy to achieve revenue objectives. You should possess business planning and financial modeling skills, along with at least 5 years of experience in OpCos Pricing (FXE, FXG, FXF) and a minimum of 7 years of overall experience, including 5 years in a Strategic Pricing role. An MBA in Marketing/Finance from a top-tier institute is a requirement for this position. Your roles and responsibilities will involve working closely with sales and marketing teams to develop competitive pricing strategies, gaining insights into customers and market segments, and developing policies and procedures for pricing analysis and approvals. Additionally, you will be responsible for stakeholder management, process transformation, analytical solutions, project management, and demonstrating various behavioral skills such as adaptability, creativity, and teamwork. The ideal candidate for this role should possess analytical skills, data mining capabilities, accuracy, attention to detail, planning and organizing skills, influencing and persuasion skills, and excellent presentation skills. At our organization, we prioritize a diverse, equitable, and inclusive workforce where fair treatment and growth opportunities are provided to all employees. FedEx is a global leader in express transportation services, known for its exceptional team of employees who strive to deliver outstanding customer service worldwide. Our People-Service-Profit philosophy guides every decision we make, focusing on taking care of our people, providing excellent service to our customers, and generating profits to secure our future. We invest back into our business and our people, valuing their contributions and fostering a work environment that encourages innovation and quality service delivery. Our culture is a key aspect of our success, shaping our behaviors and actions worldwide. The FedEx culture and values have been fundamental to our growth and differentiation in the global marketplace. We believe that our unique culture sets us apart and drives our continued success as we compete and expand our presence globally.,

You are a Senior Python Developer with a minimum of 5 years of experience in Python, specifically with expertise in Django. You have hands-on experience with Azure Web Application Services, Web Services, and API Development. Additionally, you are proficient in working with databases such as Postgres and have knowledge of API documentation tools like swagger or RAML. Your skill set includes Python libraries like Pandas, NumPy, and familiarity with Object Relational Mapper (ORM) libraries. You can integrate multiple data sources and databases into a single system and understand threading limitations and multi-process architecture in Python. Moreover, you have a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3. You are knowledgeable about user authentication and authorization between multiple systems, servers, and environments. You understand the fundamental design principles behind scalable applications and have experience with event-driven programming in Python. You can optimize output for different delivery platforms such as mobile vs. desktop and create database schemas that support business processes. Strong unit testing and debugging skills are part of your expertise, along with proficiency in code versioning tools like Git, Mercurial, or SVN. You are familiar with ADS, Jira, Kubernetes, and CI/CD tools, as well as have knowledge of data mining and algorithms. Your primary skill set includes Python, SciPy, NumPy, Django, Django ORM, MySQL, DRF, and basic knowledge of Azure. As a Full Stack Developer in the IT Services & Consulting industry, you are responsible for software development and engineering. You hold a B.Tech/B.E. degree in Electronics/Telecommunication or Computers. The job location is in Noida, and you are expected to work full-time in a permanent role. The company, Crosslynx US LLC, is established in Product Engineering and Cloud Engineering, delivering innovative solutions to enterprises worldwide. With expertise in Trustworthy and Explainable AI, Embedded Software, Cloud Application Development, RF Design & Testing, and Quality Assurance, the company offers a healthy work environment with work-life balance. Employees have opportunities to collaborate with clients, work on innovative projects, and learn about cutting-edge technologies. If you possess the technical aptitude and skills required for this role, you are encouraged to apply and join the team at Crosslynx to boost your career.,

The Information Services Group (ISG), Data Solutions organization at Citi is dedicated to fostering a data-driven culture by providing innovative technology solutions and simplifying access to quality data and business intelligence. Collaborating closely with data clients across Citi's business lines, the ISG organization strives to enhance competitiveness by restructuring business processes, facilitating information access, and offering business intelligence related to critical data. This role is a part of the Reference Data Management group within ISG Data Solutions. As a Senior Business Analyst at an intermediate level, you will play a crucial role in facilitating communication between business users and technologists. Your responsibility will involve exchanging information in a concise, logical, and understandable manner, in coordination with the Technology team. The primary objective of this position is to contribute to continuous iterative exploration and investigation of business performance and other metrics to gain insights and drive business planning. The Execution BA Team, where this role is situated, focuses on a global strategic technology platform known as the Global Corporate Action Event Repository. Your key tasks will include processing vendor data feeds, mapping data, analyzing and researching data, working on Swift messages, developing user interfaces, and ensuring timely and accurate data publishing to downstream clients. Collaboration with stakeholders, including IT, PM, and Operations partners, will be essential to create business and function requirements, develop interfaces, and define EPICs and user stories based on client requirements. Your role will also involve data modeling, mapping, data mining, transformation, SQL proficiency, working with data providers vendors (internal & external), and documentation and user training. Strong analytical and writing skills, experience in writing functional and technical specifications, and the ability to focus on high-quality work under pressure are crucial in this position. A college degree, specialized training, or equivalent work experience is required, alongside the ability to work under pressure, attention to detail, and a data-oriented mindset. To excel in this role, you should possess 8+ years of relevant experience, strong analytical, interpretive, and problem-solving skills, as well as interpersonal, management, and prioritization skills. Clear and concise communication, self-motivation, and the ability to work methodically under tight deadlines are essential. A Bachelor's degree or equivalent experience is required. Citi is an equal opportunity and affirmative action employer, encouraging all qualified interested applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability when using our search tools or applying for a career opportunity, please review the Accessibility at Citi guidelines.,

We are looking for a highly analytical and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large datasets, identifying trends, and building data products to extract valuable business insights. If you have a passion for turning raw data into actionable intelligence and possess strong analytical and problem-solving skills, we invite you to apply. Your responsibilities will include identifying valuable data sources and automating collection processes, implementing NLP algorithms for extracting insights from unstructured data, preprocessing structured and unstructured data, exploring innovative deep learning approaches, analyzing information to discover trends, building predictive models and machine-learning algorithms, utilizing ensemble modeling techniques, presenting information using data visualization, and proposing solutions to address business challenges. Collaboration with engineering and product development teams will be key. To be successful in this role, you should have proven experience as a Data Scientist, expertise in applying machine learning, NLP, computer vision, and deep learning techniques, proficiency in programming languages such as R, SQL, and Python, experience with business intelligence tools and data frameworks, strong math skills, exceptional problem-solving aptitude, and excellent communication and presentation skills. A B.Tech in Computer Science or a related quantitative field is preferred.,

You will be responsible for performing the first level controls for the P&L and FX reconciliations in the APAC region. Your duties will include highlighting and adjusting differences, as well as implementing solutions. You will act as a key point of contact for the Middle Office, Operations, Local Finance, and Regional teams. Additionally, you will review underlying products and transactions to resolve any discrepancies. Your direct responsibilities will involve reconciling Profit & Loss, Foreign Exchange, and Mark to Market to Equity between the Middle Office and accounting. You will explain differences in P&L between the Middle Office and Accounting, verify accounting corrections, monitor differences, maintain systems and reports for reconciliation, validate front office portfolio requests, suggest improvements, communicate with various departments and teams, handle ad hoc queries, manage a small team, maintain good relationships, and migrate reconciliations post OFS implementation. You will also contribute to the implementation of operational controls, participate in UAT and go-live activities, comply with regulatory requirements, investigate coordination issues, contribute to Asset Liability Management and bank FX position processes, assist in control on data flow for Capital Market Activities, and aid in reconciling accounting P&L with business line P&L. In terms of technical and behavioral competencies, you should possess the ability to work under pressure, data mining skills, organizational skills, rigor in implementation, knowledge of Capital Market products, financial accounting expertise, and proficiency in Microsoft Excel, Word, PowerPoint, MS Access, and Business Object. Ideal candidates should have professional experience in Corporate & Investment Banking, Banking, Capital Market activities, and Treasury, with at least 4 years of relevant experience. Education-wise, a CA qualification is required, and professional membership in CPA/ACCA/CFA is desired. Additionally, training in internal/external audit processes is beneficial. The desired behavioral skills include collaboration, results-driven approach, effective communication, and client focus. Transversal skills should encompass process development, performance indicator setup, analytical ability, change support, and inspiring others. The education level required is that of a Chartered Accountant, with at least 3-5 years of experience. Other qualifications like team management skills, strong communication, comfort with numbers, organization skills, hardworking nature, team spirit, and openness to other cultures are also valued.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

WIRTGEN INDIA is a member of the WIRTGEN GROUP, and a John Deere Company, that specializes in the sales and service for road construction equipment and mining machinery incorporating the traditional product brands: WIRTGEN, V?GELE, HAMM, KLEEMANN We build our company with people like you Your skills and abilities are what makes our company strong Working together as a cohesive, quality minded team, the Wirtgen group provides our customers with the highest level of quality products, service and support We are seeking a Manager/ Sr Manager Spare Parts Warehouse Operations Location: Pune Basic Requirements Educational Qualification: Any Graduate with PG in SCM or Warehouse Operations Age: 3545 years Experience: 15 to 20 years Skills: SAP/ WMS Purpose of the Job Warehouse Operations management of Inbound , Outbound, Inventory storage activi-ties for Spare parts, Materials, Equipments, and any other supplies by directly receiv-ing, warehousing, Storage and distribution, supervising staff & contractual Manpower Scope of Work & Accountabilities Warehouse operationSpare Parts Management Pune Factory Responsible for Inbound, Storage, Inventory accuracy & Outbound operations Manpower handling in warehouse (Company role & Contractual ) Maintains and improve receiving, warehousing, and distribution operations with safety and hygiene (5S) standards 3PL coordination experience and Accountability Reconciliation of stocks and follow Perpetual & Annual inventory methods strictly Controls inventory levels by conducting physical counts; reconciling with SAP stocks Maintains warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement Coordination with CFT teams e-g , Production, Workshop, Scheduling, Planning, Logistics, PAN India Warehouses & Customer support team Accountable for Warehouse metrics, MIS, Data to update daily/ weekly/ Monthly Preparing annual budget for Warehouses and monitoring the spent Maintaining data for inventory cost for the warehouse and keeping a track of Running and Non-moving inventory Action plan with Customer support team Understanding of Packaging methods and cost optimization projects Completes warehouse operational requirements by scheduling and planning Warehouse manpower planning & Dispatch Priority setup Dashboard updates to PAN India on daily basis with operational status report Good knowledge of spare parts management and storage guidelines Complies with factory act and safety norms and function smoothly Safeguards warehouse operations by establishing and monitoring safety standards Ensuring warehouse quality objectives of safe Parts delivery PAN India Key position to handle warehouse and support to PAN India WH operations Skills / Competencies Required Very strong Warehouse operations Mgnt incl Accounting, Audits and MIS Good knowledge of SAP, WMS and MM module Strong People Manager Strong Analytical & Data mining skills Preferred Knowledge of new IT tools, AI, Power BI, KANBAN etc Reporting to Warehouse HeadPAN India WH?s For consideration, please submit resume to WIRTGEN INDIA Recruiting: Submit resume

At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities We do this by striving to create an inclusive environment where everyone feels welcome to be who they are?with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity Skills And Competencies Strong knowledge of using Moodys RMS Models is required with relevant 6 years of experience Strong analytical and problem-solving abilities Strong database and data mining skills Good knowledge of Excel, Access, and SQL is required Excellent written and verbal communication Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred Education E / B OR MBA Finance/Insurance/Operations Research or masters in mathematics/ Statistics/Operations Research/Economics from top-tier universities Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation Prior experience in leading a risk analytics team?either in full or in part?is highly advantageous The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding Exhibit in-depth knowledge of Moodys RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions Drive process improvements which increase utility or efficiency of analysis Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to ?Business-As-Usual? phase by collaborating with other RMS teams Interface with Moodys RMS client development and other technical teams on client engagements Support vertical head and new opportunities team for developing new service lines About The Team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moodys RMS models and programming tools Our department Analytical service aligns with Moodys Insurance segment object to grow by providing high quality deliverables and insights to the clients By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India Moodys is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary

We are looking for a highly skilled Data Researcher to join our team at Collegedunia, with 2-4 years of experience in the field. Roles and Responsibility Conduct thorough data analysis and research to support business decisions. Develop and maintain databases and data systems to track key performance indicators. Collaborate with cross-functional teams to identify areas for improvement and implement process enhancements. Design and implement data collection methods to ensure high-quality data. Analyze large datasets to identify trends and patterns that inform business strategies. Present findings and recommendations to stakeholders through clear and concise reports. Job Requirements Strong understanding of data analysis and interpretation techniques. Experience with database management and data visualization tools. Excellent communication and problem-solving skills. Ability to work independently and as part of a team. Strong attention to detail and organizational skills. Familiarity with IT Services & Consulting industry trends and best practices.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Business Manager Support Principal responsibilities Provide Business Management support & change delivery initiatives (for instance planning, performance analysis) delivered in all areas of responsibility Support coordination of Business Management and migration/offshoring support activities across Chief Operating Officer/Commercial Execution team Participate in meetings and escalate any issues/Challenges in a timely manner and propose solutions where required Successful delivery of considerable optimization & efficiency gain project undertaken Timely completion of planned activities without any delay attributable to functions Ensure all processed region specific tasks and reports are accurate and shared as per agreed timelines Observe/Analyze areas of improvement and suggest corrective action whenever applicable Ensure timely escalation of all delays/challenges and proactively look for resolution to minimize any negative impact Ensure that stakeholder expectations are met with highest level of professionalism and value led exceptional service Nil evidence of breaches towards the bank s policies & regulations like Data Protection and Privacy, Anti Money Laundering, Information Risk policy and regulatory requirements, process specific regulations Requirements Educated to graduate level (or equivalent level of experience) Strong Excel (particularly large data sets / modelling) and high-quality visual report production Prior Business Management & Experience of producing high quality reporting to tight deadlines Stakeholder Management ability to engage and build effective relationships with team and stakeholders Excellent written and interpersonal communication skills and ability to communicate with diverse audiences Ability to work alone, independently drive initiatives or as part of a team, as required Analytical analysis, data mining and scenario modelling experience Effective presentation, interpersonal, negotiation, communication, and analytical skills The Role Holder will communicate regularly with various offices globally and all levels of seniority including all the product specialist teams. The jobholder will be required to support the management of programmes/projects and governance forums, representing his/her team as appropriate. Understanding of financial reporting aspects and moderate level knowledge of all investment, banking, insurance and credit products You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership.

Associate Economics Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Vice President, Lead Economist, NAM, and will have the following responsibilities: Support client and stakeholder engagements for MEI across NAM Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to RC economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

About GlobalFoundries Introduction: The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry Your Job : Understand the business case and translate to a holistic a solution involving Ab Initio (Cloud/On-prem) , Python, Data Ingestion and Cloud DB Redshift / Postgres, AWS cloud. PL/SQL development for high volume data sets. Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), DB query monitoring for tuning and optimization opportunities Proven experience with large, complex database projects in environments producing high-volume data Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions. Makes recommendations regarding enhancements and/or improvements Provides appropriate consulting, interfacing, and standards relating to database management, and monitors transaction activity and utilization. Performance issues analysis and Tuning Data Warehouse design and development, including logical and physical schema design. Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams Required Qualifications : Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields. Proven experience (3 years minimum) with ETL development, design, performance tuning and optimization, Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches, Working Experience in Kubernetes and Docker Administration is added advantage Must have good experience in AWS services, Ab Initio, Big data, Python, Cloud DB RedShift. Good to have exp in PySpark Proven experience with large, complex database projects in environments producing high-volume data, Proficiency in SQL and PL/SQL Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes, infrastructure. Familiarity with SDLC concepts and processes A strong candidate for being a great camaraderie builder. Additional Skill: Experience using and developing on AWS services. Experience in semiconductor industry, Knowledge of Semistructured datasets Experience with reporting data solutions and business intelligence tools Experience in collecting, structuring and summarizing requirements in a data warehouse environment, Knowledge of statistical data analysis and data mining, Experience in test management, test case definition and test processes Preferred Qualifications: Bachelor or master s degree with Minimum 10 Years relevant Exp along with people manager exposure. Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping) GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations. Information about our benefits you can find here: https: / / gf.com / about-us / careers / opportunities-asia

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

About this role : In Gartner s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented associate data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you ll do : Here is a sample of some initiatives that our associate data scientists work on Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using NLP models and advanced Generative AI techniques to derive actionable insights from unstructured text data, such as call transcripts and emails. Evaluating the performance of the models, continuously optimizing them for better accuracy and relevance Building various recommendation tools like client interest predictor and personalized content recommenders to drive higher client value delivery Develop customer churn prediction models that proactively identify at-risk clients, leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection Collaborate with cross-functional teams to integrate data science solutions into existing systems and user workflows, ensuring seamless data accessibility and usability. What you ll need : BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 1+ years experience in data science methodologies as applied to live initiatives or software development 1+ years of experience in python coding and statistical analysis Working experience in several of the following: Prompt Engineering and working with LLMs Machine Learning and statistical techniques Data mining and recommendation systems Natural Language Processing and Information Retrieval Handling large volumes of data User behavior modeling What we offer : A collaborative, positive culture. You ll work with people who are as enthusiastic, smart and driven as you are. You ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Kantar IMRB is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

Ability to interact closely with Business Stakeholder onunderstanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions,performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementingthe best practices on timely Manner. Analyzes the results to generate actionable insights andpresents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associatedwith datasets Provides updates on project progress, performs root causeanalysis on completed projects and works on identified improvement areas (likeprocess, product quality, performance, etc.) Provides post-implementation support and ensures thetarget project benefits are successfully delivered in a robust and sustainablefashion Builds relationships and partners effectively with cross-functionalteams to ensure available data is accurate, consistent and timely Mandatory Skills required to performthe job: Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability Specialist in Power Platform (Power Apps & Power Automate) Experience with JavaScript, Power Fx, create plugins, custom app and canvas/model driven, page development, web API creation, data/Cloud flow, Dataverse. Expert in Reports & Dashboard development (Power BI) Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Experience in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Good understanding of business processes and experience in Manufacturing/Inventory Management domains Knowledge in performing Root cause analysis and Corrective actions Excellent verbal and written communication & presentation skills, able to communicate cross-functionally Desirable Skills: Agile/SCRUM development using any tools Understanding of enterprise server

Our Customer Experience and Business Trends (CXBT) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) to analyze and deliver insights to help us better serve customers. Our team within the CXBT organization is called Benchmarking Economics, Analytics, and Measurement (BEAM). BEAM is a central team that consists of economics, analytics (business intelligence) and measurement science (data scientists). Our mission is to drive customer experience (CX) improvement through science modeling and quantitative data analytics. Our core functional skills include: data collection, science modeling, insights reporting, and automation. The right candidate is passionate about understanding customer needs, perceptions, and experiences, diving deep into complex problems, and continuously striving to deliver deeper insights. The person in this role will innovate, build new methodologies to generate insights, and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills, and have the ability to work collaboratively to influence business leaders at all levels, including senior management. Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience Articulate assumptions, methodologies, results, and implications Present analyses to both technical and non-technical stakeholders, ensuring clarity and understanding About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments. About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools. Key Responsibilities: Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators and new methodologies for measurement. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level 1+ years of data analytics or automation experience Experience with data mining tools like SQL, SAS, SPSS, or similar Bachelors degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field

Amazon Health Services (One Medical) About Us: At Health AI, were revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, were on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: Were seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in healthcare or medical informatics Publication record in top-tier ML conferences/journals Expertise in model optimization and distributed computing Experience with AWS services and cloud computing Knowledge of healthcare data privacy and security requirements

Amazon.com strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want low prices, vast selection, and convenience Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. As a Research Analyst, youll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models. Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. Bachelors degree in math/statistics/engineering or other equivalent quantitative discipline 2+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Masters degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

As a Business Analyst (Data Steward) at infoAnalytica Consulting, you will play a crucial role in managing data as a corporate asset and contributing to the data services business unit that serves global customers. Your responsibilities will include identifying and leveraging new, existing, and legacy data assets to increase efficiency and re-use, overseeing data strategy, data warehousing, and database management, and ensuring data quality and value creation for customers. You will be expected to act as a thought leader in defining data acquisition strategies and roadmaps, collaborating with tech teams to organize data access and knowledge repositories, and working closely with internal and external stakeholders to address data needs. Additionally, you will be responsible for building effective MIS systems for data optimization and mentoring key personnel within the data department to drive growth and efficiency. To excel in this role, you must possess exceptional communication skills to understand and convey customer requirements effectively, have at least 3 years of experience in data-heavy roles or demand generation, and demonstrate a strong technology insight to identify and leverage the right tools for data projects. Self-service data preparation mechanisms understanding and interpersonal skills are also essential qualities for success in this collaborative and strategic position. Overall, as a Business Analyst (Data Steward) at infoAnalytica, you will have the opportunity to contribute to a dynamic and inclusive work environment that values ownership, innovation, transparency, and results-driven mindset. Join us in our mission to deliver exceptional data services and make a meaningful impact in the world of marketing research and demand generation.,