888 Data Mining Jobs - Page 19

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. American Express Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Audit NextGen, Data-Driven Continuous Auditing, and Auditor of the Future initiatives. Each uniquely support our Winning Aspiration to be a world class internal audit function that: Provides data-driven and technology-enabled assurance Delivers timely risk insights that are business-aware and forward-looking Supports our colleagues with experiences that prepare them to be enterprise leaders Collectively, IAG s strategic initiatives, combined with our greatest asset our people enable IAG to utilize advanced data analysis capabilities, provide greater and continuous assurance, and help ensure quality products and services are provided to American Express customers. IAG s innovative Data-Driven Continuous Auditing approach has led to patent-pending technology assets over our uniquely developed audit methodology and technology enablers. We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment. Key Responsibilities Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders Link analytics and insights to ongoing strategic initiatives Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc. Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights Qualifications Master s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction Self-starter alongwith passion for continuous Innovation with a view to drive organizational improvements & impacts Excellent storytelling and visualization skills Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations Aptitude for working with data, interpreting results, business intelligence and analytic best practices Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables : Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Job Description We are looking for a technical, highly motivated and dynamic IT Product Information & Lead Research Analyst to play a key role in our growing team. This hands-on position is ideal for a self-starter who enjoys research, data curation, and taxonomy design, with a unique opportunity to transition into a leadership role as the team expands. The team is responsible for building and maintaining a comprehensive, accurate, and curated product catalog of all software and hardware technology products sold and deployed globally. The Lead Product Research Analyst will be responsible for: Lead and coach a team of research analysts working on technology data mining and curation. Conduct research on technology data/content about software and hardware products, including vendors, manufacturers, product suites, lifecycle data Collect, analyze, and curate information to enrich our technology catalog, ensuring accuracy and consistency Oversee the maintenance of a technology data catalog, ensuring comprehensive and up-to-date content Design and manage taxonomies for software and hardware products. Develop and enforce rules for normalizing and mapping data between source systems Define and implement end-to-end research workflows, including methodologies, training programs, and quality control measures. Respond to customer and internal requests to enrich catalog content and resolve content-related issues promptly. Act as the subject matter expert (SME) on technology data, working directly with customers and partners to address data-related issues and enhancement requests. Collaborate with internal stakeholders, including engineers and product teams, to translate business requirements into new data offerings and features. Qualifications Bachelor s degree in computer science, engineering, data management or related field Experience with Master Data Management or Product Information Management platforms Proficiency in writing regular expressions (Regex) - required Familiarity with database tools, data entry systems, and processes. In-depth, subject matter expertise-level understanding of how software is named, titled, and released by commercial and open-source teams, including EOL and vulnerability disclosures. Strong background in researching and managing technical content, with an eye for detail. Ability to identify gaps in data and develop proactive plans to close them. Experience in designing and managing taxonomies for technical products.

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is looking for a data analyst to support business intelligence and analytics efforts throughout our organization and identify opportunities for improvements through data-driven decision making. This new team member will work in our Customer Operations team matching the US Central time zone and work cross-functionally with sales, product, operations and engineering. What youll be doing Data mining using state-of-the-art methods Extending company s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems, incl robust ETL process Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results & insights in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Establishes the performance baselines, builds dashboards, and transforms data through the use of SQL/Python Programming and SalesForce plugins. Analyzes performance in terms of revenue, cost and service to identify opportunities to optimize service level, maintain efficiency and minimize cost. Provides guidance to developing performance metrics, data structure required and connect them to business goals and objectives. Supports ad-hoc requests from the leadership team by providing data driven conclusions and recommendations to help drive customer retention and growth. Who you are Bachelor s degree in Mathematics, Business, Economics, or other related fields. Preferred Master s degree in Data Analytics or a related field 5 years of related work experience in data analytics, sales operations, management consulting or supply chain management area Strong analytical, problem solving and quantitative analysis skills using structured and unstructured data. Excellent business acumen with ability to translate technical findings into clear business recommendations and understand which metrics actually matter SQL proficiency - Master complex queries, data modeling, and optimization for efficient data extraction and manipulation Python/R expertise - Build analysis pipelines, automate data processes, and create statistical models Data visualization - Create compelling dashboards with tools like Tableau or similar BI tools that drive business decisions Salesforce Analytics expertise - Utilize Salesforce Analytics Cloud (Einstein Analytics) to create actionable dashboards and extract customer insights Working knowledge of Microsoft Azure or AWS, SalesForce, Jira and Confluence Solid knowledge of database, data lake, data analytics and visualization tools. Strong written and verbal communication skills. Strong planning, project management and organizational skills. High attention to quality, detail & pivoting to scrappy solutions when needed. Ability to work individually or within a team in a fast paced environment. Who we are: FourKites , the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across As the leader in AI-driven supply chain transformation, FourKites pioneered the Intelligent Control Tower powered by the world s largest real-time visibility network. Our platform creates comprehensive digital twins of your supply chain with AI-powered digital workers to automate resolution, improve collaboration and drive outcomes across all stakeholders. Unlike traditional control towers, we enable true real-time execution and intelligent fulfillment, transforming both your supply and customer. Benefits Medical benefits start on first day of employment 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days Home Office setups and Technology reimbursement Lifestyle & Family benefits Annual Swags/ Festive Swags Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. ) . A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS) ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What You’ll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What You’ll Bring PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.); Relevant programming background (e.g. Python/R); Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills; Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

HEAD FIELD SOLUTIONS PVT LTD. Email Marketing Required Skills: Candidate should minimum have 250-400 email ids (for experienced candidates) Freshers are also welcome (0-80 Id''s) Candidate should have experience in particular industry (Example:-Staffing. Healthcare) Minimum 2 years of experience in the email marketing profile Candidate should be comfortable working with target based Job(Lead generation) We work on domain leads We work for only US Clients Required Candidate Profile: Ability to work in a team and with different personalities. Ability to work under pressure and to strict deadlines Proactive Benefits: Employee friendly Corporate Work culture Excellent Salary structure Timings are fixed (9:00 PM to 6:00 AM) with Saturday and Sunday Off. Best in class infrastructure In-House Meals are available(Lunch and Tea) Strong recognition for our employees, giving them excellent career path. Company Website links: www.headfield.com www.glocalrpo.com

Job Description Summary The Sr Director - Data Architecture will manage a team of Data Architects and partner with Product Managers to define the data architecture and strategy of the GE HealthCare One Data Platform, and identify product advancement & enhancement opportunities for critical enterprise use cases. Job Description Roles and Responsibilities The Sr Director - Data Architecture is a critical leadership role responsible for shaping and executing the organization s enterprise data architecture strategy. This individual will lead a team of data architects, driving the evolution of our enterprise data landscape and support business objectives and enabling data-driven decision-making. The ideal candidate should possess a deep understanding of data architecture principles, domain-driven design, and emerging technologies, coupled with exceptional leadership and communication skills. (S)He will be a champion for data quality, governance, and security, and a key influencer in shaping the future of the enterprise data strategy at GE HealthCare. Strategic Data Architecture Leadership: Establish the overall vision for the team, d efine and champion the overall data architecture strategy, aligning it directly with business objectives and growth plans. Develop and maintain a multi-year data architecture roadmap, incorporating emerging technologies and industry best practices. Lead the evolution of the organization s data landscape, ensuring scalability, reliability, security, and performance. Drive the transition towards a data mesh architecture, defining principles, patterns, and governance frameworks to enable decentralized data ownership and domain autonomy. Data Architecture Design & Standards: Define and evangelize standard data patterns, reference architectures, and architectural guidelines for various data domains (viz., Finance, Supply Chain, Services, Manufacturing, Enterprise Operations, etc.). Ensure architectural designs are aligned with domain-driven design (DDD) principles, promoting data ownership and accountability within business domains. Oversee the design and implementation of data models, data pipelines, and data integration solutions. Evaluate and recommend data technologies and platforms (e.g., data warehouses, data lakes, streaming platforms, graph databases, cloud services). Data Mesh Implementation: Define and enforce data architecture standards related to data privacy, access control, data lifecycle management, and operational models for a data mesh architecture. Guide domain teams in adopting data mesh principles and building data products. Establish clear ownership and accountability for data assets within each domain. Develop and enforce data contracts and APIs to ensure interoperability between data products. Team Leadership & Development: Attract, recruit, and retain top data architecture talent, building a high-performing team. Mentor and develop data architects, fostering a culture of innovation, collaboration, and continuous learning. Lead a large team of data architects, providing technical guidance and oversight to the team. Conduct performance reviews and provide constructive feedback. Collaboration & Communication: Partner closely with business stakeholders, data scientists, data engineers, and other technology leaders to understand data needs and translate them into architectural solutions. Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Influence and advocate for data architecture best practices across the organization. Collaborate with the Data Governance team to ensure data quality, compliance, and security. Stay abreast of emerging data technologies and trends (e.g., AI/ML, blockchain, data fabrics) and evaluate their potential impact on the organization. Education Qualification: Bachelors Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 15+ years of relevant experience. Desired Characteristics: Passionate about driving change and influence across enterprise Demonstrated ability to lead in a highly matrixed environment Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company Ability to acquire any specialized domain knowledge required to be more effective in all required activities Willingness to learn and develop critical data science skills (e.g. statistical analyses, advanced data visualization, data mining, and data cleansing/transformation) Competency in major analytics frameworks and programming environments like Data Mesh and Data Fabric Technical Expertise: Understands technical and business discussions relative to future architecture direction aligning with business goals. Understands concepts of setting and driving architecture direction. Familiar with elements of gathering architecture requirements. Understands architecture standards concepts to apply to project work. Business Acumen: Understand key cross-functional concepts that impact the organization; is aware of business priorities and organizational dynamics. Personal Attributes: Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice. Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate. Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives. Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Relocation Assistance Provided: Yes

Experience : 4-5 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Understanding the business objectives, data preparation, data mining, feature engineering, and developing Gen-AI Solutions to solve the business problems Provide direction to the team in terms of technical issues and the design challenges Should be self-driven individual and always look for future opportunities Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction Demonstrates good communication skills Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment Technical Skills: Strong understanding of Microsoft Copilot Platform and its capabilities Support team on deploying and managing Gen-AI systems in production environments. They need to have a basic understanding of Gen-AI systems architecture and how to optimize them for performance and scalability. Good Exposure to Python based Gen-AI projects Should have exposure to Cloud computing platforms such as Azure to train and deploy Gen-AI solutions. Awareness around concepts such as pre-trained models, Finetuned models etc. Basic understanding on LLM and NLP tools and technologies used to perform Gen-AI tasks such as text, image generation, and code generation. Ex: GPT-3, Codex, GitHub Copilot, Bard. Ability to showcase the technical solution implemented and present it to all stakeholders Excellent Troubleshooting & Analytical skills Ability to manage / support multiple priorities Be interested in the new tech stack and complex problems solving Should be aware of complete software development lifecycle, including analysis, design, configuration, development, and unit testing Knowledge of .Net Core and SQL database Should be able to share the consistent updates to project stakeholders on project risks and able to come up with risk mitigation plans Experience working on vector databases and index-based search implementations Experience in implementing or utilizing AI / ML solutions including the Azure Cognitive services Designing and implementing Azure based web app solutions Nice to have: Experience with .Net development Qualifications: 1+ years experience and expertise on Microsoft Copilot Studio 4+ years of Azure Ai services experience 4+ Years of Python development experience 3+ years of hands-on exp in Generative AI projects Experience with Using Gen AI libraries like Lang chain, semantic kernel, crewai , etc. Fair understanding of machine learning, natural language processing, and other AI technologies as well. Desirable to have hands-on with Python, Web Development It is good to have a good understanding of business principles and practices Should be able to identify and assess the business potential of Gen-AI technologies Should be able to develop and implement business strategies for Gen-AI projects. Desired to have a strong understanding of the ethical implications of Gen-AI. Able to support in implementing ethical guidelines for the use of Gen-AI. Ensure that Gen-AI is used in a responsible and ethical manner. Responsible to assist team on designing, building, and maintaining Gen-AI models and systems. Basic understanding of how Gen-AI models work and how to craft prompts that will produce the desired results. Collaborate with Users to provide inputs on developing and implementing ethical guidelines for the use of Gen-AI. A strong desire to produce quality work, adopt standards and adhere to those standards Must be able to think & innovate out of the box Provide input to assist with continual improvement Regularly discuss current workload, issues, concerns, etc. Challenge team members to broaden their thinking about the environment and applications Ensure all work adheres to best practices Operate & Maintain: Manage the production issues of existing projects along with ongoing initiatives Standards & Documentation: Accountable for the creation of key standards and documents Ensure documentation, processes and standards are maintained or created for the delivered projects

We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. 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 team members 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 Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of 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 and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, 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. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level

Key Responsibilities: Translate business needs to technical specifications Design, build and deploy BI solutions (e.g. reporting tools) Develop and execute database queries and conduct analyses Create visualizations and reports for requested projects Conduct unit testing and troubleshooting Collaborate with teams to integrate systems Agile delivery process Maintain and support data platforms Evaluate and improve existing BI systems Proven abilities to take initiative and be innovative Required Knowledge & Skills: BS/MS in Computer Science of Information Systems along with work experience in related field 6+ years of experience in building visualizations, reports, and dashboards. (Microsoft Power BI) Knowledge of SQL queries, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), PostgreSQL and Snowflake. Background in data warehouse design (e.g. dimensional modelling) and data mining Capable to implement row level security on data Experience in production support activities will be added advantage Good to hire a candidate with Certification Experience on Python and Tableau will be added advantage.

Responsibilities: Assist in planning and executing marketing campaigns (online and offline). Conduct market research to identify trends, customer needs, and competitor activities. Coordinate with design and content teams for promotional materials, advertisements, and social media content. Manage and monitor social media platforms and marketing efforts. Track campaign performance and generate reports with insights and recommendations. Maintain and update marketing databases and CRM tools. Support sales team with marketing collateral and lead generation strategies. Mass Mailing & Cold Calling

Work experience 3-8 years Qualification Masters in statistics, mathematics, economics, or Bachelors in Engineering with a bent towards analytics/statistics Skills/ Experience: Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development Knowledge of analytical/statistical techniques similar to but not limited to linear and logistic regression, decision trees, random forests, support vector machines clustering etc. and their applications A working knowledge of/experience in SAS and R/Python is a must Experience in handling large volumes of data, data cleansing & data preparation Good communications skills, both written and spoken Ability to translate and integrate results of statistical models with business understanding to help in realizing business outcomes Knowledge of data visualization tools (Tableau, QlikView, etc.) is an added advantage Candidate should have worked hands-on as an individual contributor in developing predictive models in at least one of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, customer retention, anomaly detection, etc. Candidate must be a strong team player Job responsibilities: Interact with internal stakeholders to capture business requirement Translate business requirements into statistical problem statements Perform multivariate analysis and design innovative solutions using statistical modeling and solve business problems Define project scope and deliverables that support business goals; collaborate with the concerned team to ensure timely delivery of projects

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. Position Summary The Regional Solutions & Service Engineer develops solutions working closely with MbM Product team, Sales and Opportunity Management based on modules that address the customers requirements with cost-effective, high quality logistics solutions which can be effectively implemented and executed Location: Mumbai / Gurgaon Must-Have Skills: Strong expertise in data analytics and data mining Extensive experience in SCM solution design and implementation Deep understanding of large-scale SCM processes Proficiency in Profit and Loss design and analysis Proven track record in cost optimization strategies Industrial experience in manufacturing, automotive, and chemical sectors preferred (Open for other) Job Responsibilities Develop solutions in line with MbM strategy and customer needs Basic supply chain analytics projects Analysis and compatibility against business processes to execute required solution and solution changes. Analyse end-to-end supply chain of Clients for potential cost saving opportunity Identify and analyse potential configuration gaps using various MbM technology platforms/ application. Interpret and analyse gathered customer requirements and translate into a solution proposal, Develop and maintain solution concepts. Configure Solution Building blocks - maximise use of existing solutions already successfully operated Quantify the solution resource and implementation requirements e.g. FTEs, costs, EDI development, facilities, capabilities, equipment/services Work with Product/IT to develop alternative Solutions in case of capability gaps where applicable. Clearly outline solutions in appropriate formats for presentation to customers and handover to the implementation team. Management dashboards to show profit levels, HC expenditures and other such meaningful metrics across customers, verticals and geographies. Financial and operational benchmarking Review and support customer solutions and implementations Act as custodian of sustainable operational quality and efficiency Project manage the solution design process to ensure on-time delivery Channel requests for re-engineering, re-development of Solution Building Blocks to product managers. Regular review of cost to serve Vs pricing and tie it with P&L. Maintain the repository of the global pricing database and update with relevant changes. Accountable for: Analytics of current supply chain model of the customer. Solution quality, its implementation and execution Visibility on Operating Cost drivers and Execution of the initiatives Review and respond to the queries on the solutions if any seeked by the Opportunity Management Evaluation Board (OMEB) Skills Required Education: Masters degree from recognized university. Degree in Operations or Supply Chain Management preferred. Experience: Minimum 7 years of experience in transportation with experience in solution designing and supply chain. 5+ years experience in the analytics, design or operations of international supply chains Project management experience will be an advantage. Direct experience in one or more core industry verticals Analytical with proficiency in translating complex requirements into tangible solutions Effective interpersonal and communication skills In-depth understanding o f End-to-end International logistics concepts Strong financial acumen Excellent interpersonal and presentation skills Be able to work independently, and willing to travel upon business requirements Skills to manage sensitive customers and personalities Behavioural Assertive/decisive and pro-active High sense of urgency & persistence Confidence in dealing with people and building lasting relationships/networks Ambitious and result oriented self-starter with initiative and strong drive Problem solving skills and customer service skills Other Outstanding verbal, written & presentation skills Ability to work in a matrix organization and influence decision making Ability to interface with senior leadership stakeholders within & outside the organization. Internal Stakeholders: Regional product heads, Global product teams, Commercial teams, Operations teams. External Stakeholders: Customers, Suppliers Reports into Regional Head of Solution & Services.

About this role: Wells Fargo is seeking a Senior Lead business execution consultant In this role, you will: Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management Lead the strategy and resolution of highly complex and unique challenges related to Business Execution that require solid analytical skills, extensive knowledge of Business Execution, and understanding of business, delivering longer term and large scale solutions Provide vision, direction, and expertise to senior leadership for implementing innovative and significant business solutions that are large scale and cross organizational Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an experienced advisor to the leadership Provide direction to a cross functional team using business expertise Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Business Administration, or a related field. Proven experience in innovation roles within the banking or financial services industry, preferably within a global capability center (GCC) or captive unit. Strong understanding of banking processes and the financial services industry. Demonstrated expertise in emerging technologies, including generative AI, agentic AI, Data Engineering, Data Mining & Visualization, machine learning, NLP, and intelligent automation. Exceptional research and analytical skills, with the ability to translate complex data into actionable insights. Excellent project management skills, with a track record of successfully leading innovation projects. Outstanding communication and presentation skills, with experience in content creation and delivering innovation roadshows. Ability to work collaboratively in a cross-functional team environment and manage relationships with diverse stakeholders. Job Expectations: We are seeking a dynamic and forward-thinking Innovation and Incubation specialist with hands on experience to join our team. In this role, you will be instrumental in identifying and researching emerging technologies, developing innovative solutions, and leading industry research & Market study to identify platforms which help in digital transformation journey within bank. Your expertise in generative AI, intelligent automation, and market analysis will be crucial in shaping the future of our banking operations. Emerging Technology Research: Stay abreast of the latest technological trends, with a focus on generative AI, agentic AI, fintech, Data Engineering, Data Mining & Visualization, machine learning, NLP/NLG, and intelligent automation, to identify opportunities for innovation within banking processes. Solution and Platform Identification: Evaluate and recommend new technologies, platforms, and solutions that align with the banks strategic objectives and have the potential to enhance operational efficiency and customer experience. Market and Industry Analysis: Conduct comprehensive market research and industry analysis to understand competitive landscapes, identify market opportunities, and inform strategic decision-making. Process Understanding and Improvement: Analyze existing banking processes to identify areas for improvement and develop innovative solutions that streamline operations and enhance service delivery. Innovation Roadshows and Content Creation: Develop and deliver engaging presentations, newsletters, and other content to communicate innovation initiatives and foster a culture of innovation within the organization. Proof of Concept Development: Lead the development and execution of proof-of-concept projects to validate the feasibility and value of new technologies and solutions. Project Management: Oversee innovation projects from inception to completion, ensuring timely delivery, effective communication, and alignment with strategic goals.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Fulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Support Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building and maintaining scalable solutions to enable the growth our FC Operations. The position will work closely with Central ACES teams to develop platform and tools and analyze data to support PD initiatives, dig deep into data to determine root cause of defects, build and maintain decision support process to track defects and correct them in real time. Proposed Responsibilities of BIE Support will be: - Monitoring health of DWP jobs, infrastructure and platform - maintaining 100% availability and scaling - Performing root cause analysis and resolving Trouble Tickets. - Enhancements to the existing solutions independently (with minimal guidance from BIE team) - Gradual ownership of medium complexity solutions from the roadmap initiatives Fulfillment of data requirements of the central ACES team, Using Analytical tools to drive solutions to business problems. Data model creation for critical roadmap projects. Configuration and network setup for new FCs. Design, develop, and implement solutions to more effectively utilize technical configurations to deliver tangible operational and customer benefits. Managing multiple projects simultaneously. Ability to communicate to various stakeholder from different teams. Work closely with operations, product teams and engineering teams during and after launch and for new special projects. We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND About the team Fulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Support Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building and maintaining scalable solutions to enable the growth our FC Operations. - 1+ years of data analytics or automation experience - 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 - Experience with data mining tools like SQL, SAS, SPSS, or similar - 7. Do you have knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

About Us Observe.AI is transforming customer service with AI agents that speak, think, and act like your best human agents helping enterprises automate routine customer calls and workflows, support agents in real time, and uncover powerful insights from every interaction. With Observe.AI , businesses boost automation, deliver faster, more consistent 24/7 service and build stronger customer loyalty. Trusted by brands like Accolade, Prudential, Concentrix, Cox Automotive, and Included Health, Observe.AI is redefining how businesses connect with customers driving better experiences and lasting relationships at every touchpoint. The Opportunity As a speech Analyst you will be needed to analyze spoken language data and derive insights. This role requires a strong background in data mining within speech and text analytics, data analysis, or a related area, with experience in speech recognition, NLP, or voice analytics. In this role you will collaborate with cross-functional teams to enhance speech-based applications, customer interactions, and AI voice technologies. What you ll be doing Configure and Automate Quality Assurance Understand customer quality evaluation forms for pilots and proof of concepts. Configure trackable points of interest from evaluation forms into the Observe.AI dashboard. Automate scoring for evaluation forms using speech analytics tools. Audit and resolve accuracy issues of voice analytics data to reduce false readings. Provide thought leadership and refresh speech analytic configurations. Business Process Analysis and Improvement Learn each customers business processes and KPIs. Determine how interaction analytics can be used to improve business processes. Collaborate with customer business leaders to identify, plan, and execute strategic analytical objectives using Observe.AIs voice analytics tools. Work with customers to ensure each business initiative is supported by a strong value story. Issue Resolution and Value Measurement Anticipate and identify issues and conflicts to diffuse potential problems. Provide an escalation path to ensure swift resolution of customer issues. Discover unique areas of interest for each customer and tie those metrics to measurable ROI. Key Deliverables Build Speech Based queries for key business metrics Automated QA processes, helping customers glean insights from up to 100x the volume of evaluations they were before. Playbooks and thought leadership by vertical and horizontal. Incredible stories of business impact and positive change within our customers. Some of the other coolest things you deliver:- Automated QA processes, helping customers glean insights from up to 100x the volume of evaluations they were before Playbooks and thought leadership by vertical and horizontal Incredible stories of business impact and positive change within our customers What you bring to the role Experience working with speech analytic tools to identify key points of interests within contact center interactions Bachelor s or Master s degree in Linguistics, Data Science, Computer Science, Cognitive Science, or a related field Understanding of call center KPIs such as AHT, CSAT, FCR, Upsell,Call Driver, NPS etc Analyze voice and chat interactions to identify trends, pain points, and opportunities across customer touchpoints Excellent verbal and written communication skills, effectively engaging with customers across various scenarios, including inquiries, complaints, and complex support situations Ability to work independently and team player in a technology driven environment Knowledge of GenAI prompts for query building will be an added advantage Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka SE Act Generous holidays (National and Festive) recognition and parental leave policies Learning Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and youre ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai .

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Job Title: Data Analyst Summary: We are seeking a highly skilled and experienced Data Analyst to join our Data Services department. The ideal candidate will have at least 7 years of experience in data analysis and a strong background in statistical analysis, data mining, and data visualization. The Data Analyst will be responsible for interpreting data, analyzing results, and providing insights to drive business decisions. Roles and Responsibilities: - Collect and analyze data from various sources to identify trends and patterns - Develop and implement data models and algorithms to optimize data processing - Create visualizations and reports to communicate findings to stakeholders - Collaborate with cross-functional teams to understand business needs and provide data-driven solutions - Identify opportunities for process improvement and automation - Stay current with industry trends and best practices in data analysis Qualifications: - Bachelors degree in Computer Science, Statistics, Mathematics, or related field - Minimum of 7 years of experience in data analysis - Proficiency in SQL, Python, R, or other programming languages - Strong analytical and problem-solving skills - Excellent communication and presentation abilities - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning techniques is a plus If you are a data-driven professional with a passion for turning data into actionable insights, we want to hear from you. Join our team and make a meaningful impact on our business through data analysis.

Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . 4) Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle 5) Work with cross functional teams About the team The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion for big data - Proven track record in leveraging customer insights for influencing business teams - Advanced SQL / data mining skills - Extensive experience in reports/dashboards automation - Experience with statistical analysis (R/python) - Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) - E commerce experience is preferred

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon s customersDo you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every dayAre you excited by the prospect of analyzing and modeling terabytes of data to solve real world problemsDo you like to own end-to-end business problems/metrics and directly impact the profitability of the companyDo you like to innovate and simplifyIf yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the companys bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques - 2+ years of building models for business application experience - PhD, or Masters degree - 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 using Unix/Linux - Experience in professional software development

**The role is for 1 year term in Amazon Are you interested in applying your strong quantitative analysis and big data skills to world-changing problemsAre you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment networkIf so, then this is the job for you. Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications across APAC, MENA and LATAM. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. Major responsibilities include: Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. Writing SQL queries and automation scripts Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. Develop efficient data querying and modeling infrastructure. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (SQL, Python, R, Scala, etc.) for analyzing data and building data marts - 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

- Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazons IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users. - 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 using Unix/Linux - Experience in professional software development

No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Mandatory Skills Must Have Skills Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, PySpark, SQL Experience with Power Shell Scripting