5437 Data Science Jobs - Page 8

Enable data-driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech, and business knowledge. You will be responsible for identifying operational improvements and finding solutions by applying CI tools and techniques, completing tasks and transactions within agreed KPI's, engaging with business & functional partners to understand business priorities, and scoping analytical solutions. You should have an in-depth understanding of techniques to prepare analytical datasets leveraging multiple complex data sources, building statistical models and ML algorithms, writing structured algorithms using Continuous Improvement principles, and building a visualization layer to empower end-users to make decisions. Additionally, you will collaborate with the line manager to ensure application/consumption and identify opportunities to address bigger business questions. To qualify for this role, you should have 1-2 years of experience in data science application in Retail or CPG, with preferred functional experience in Marketing, Supply Chain, Customer, Merchandising, Operations, Finance, or Digital. Tesco offers a rewarding package for its colleagues, including performance bonuses, leave entitlements, retirement benefits, health and wellness programs, mental health support, financial coaching, employee share ownership programs, and physical wellbeing initiatives. The company is committed to providing a supportive and inclusive work environment for its employees. Tesco in Bengaluru is a multi-disciplinary team focused on serving customers, communities, and the planet. The team aims to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues to do more for customers. With a wide network of teams and strong governance, Tesco in Bengaluru offers high-quality services to customers worldwide. Established in 2017, Tesco Business Solutions (TBS) is a purpose-driven organization committed to driving scale and delivering value to the Tesco Group through decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across various locations. The organization focuses on innovation, agility, and creating impactful outcomes to shape the future of the business, becoming the partner of choice for talent, transformation, and value creation in the Tesco Group.,

You will be responsible for delivering captivating classroom instruction on emerging technologies such as Cyber Security, Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, and Internet of Things. Collaborating with colleagues to develop and refine the curriculum in alignment with the latest advancements in the field will be essential. In the realm of Research & Development, your role will involve conducting research, securing funding for projects, and contributing to the advancement of domain knowledge within the academic setting. Guiding and mentoring students to support their academic and professional growth will be a key aspect of your responsibilities. Additionally, you will contribute to the development of innovative learning resources and laboratories to enhance the learning experience for students. Your engagement will extend to participating in examinations and academic activities within the institute. Involvement in academic audits such as NAAC/NBA/IQAC will also be part of your duties. Active participation in co-curricular and extra-curricular activities, including Faculty Development Programs (FDPs), will be encouraged to enrich the academic environment. As a desired candidate, you should possess a B.Tech & M.Tech degree in Computers/Information Technology/Computer, with a Ph.D. from a recognized university being preferred. A minimum of 0-10 years of experience in academics or industry, focusing on relevant technologies like AI, IoT, Data Science, etc., is required. A strong publication record is expected, with a minimum of 3 SCI publications for Professors, 2 SCI publications for Associate Professors, and 1 SCI publication for Assistant Professors. Effective communication and presentation skills are essential for delivering impactful teaching sessions. This role is a full-time position suitable for both freshers and experienced individuals. The benefits include health insurance and Provident Fund. The work schedule consists of day and morning shifts, with additional perks such as performance bonuses and yearly bonuses. The work location is on-site to ensure effective collaboration and engagement within the academic environment.,

You will be joining a leading AI-driven Global Supply Chain Solutions Software Product Company, recognized as one of Glassdoor's Best Places to Work. As a Blue Yonder Sr Technical Architect in the Professional Services team, your primary responsibility will be overseeing the services delivery of product implementation and related integrations. You will work closely with a team of 80+ associates in India, with the team expected to grow rapidly. Your role will involve architecting, designing, and leading the technical team on various projects, collaborating with counterparts, customers, and Architects. In this role, you will lead a team of technical consultants and developers on solution implementation, enhancement, managed services, integration, and custom projects, either at customer sites or offshore. Your tasks will include estimating workload, conducting technical analysis sessions, designing and developing platform workflow, providing technical support to the project team, and handling activities with a diverse scope. Additionally, you will provide internal and external trainings, contribute to internal development projects, and identify revenue opportunities within existing customer projects. The ideal candidate will have a Bachelor's degree in Computer Science with 8 to 14 years of experience in the Software industry, preferably starting as a consultant and progressing to leading technical teams on multiple implementation cycles. Strong technical proficiency in programming, problem-solving, performance tuning, PL/SQL, database, ETL, platform, Perl scripting, and enterprise solutions deployment is required. You should have expertise in Blue Yonder SCPO Platform, cloud technologies, architectural design, web technologies, and API fundamentals. Hands-on development skills are essential, along with a passion for learning new technologies and products. Your role will involve continuous learning and upskilling on Blue Yonder's product suite, traveling to customer sites as needed, and working with overlapping time zones. You will be expected to create artifacts for reusability and automation, contributing to decreasing implementation lifecycles and reducing errors post go-live. If you align with our company values and are committed to fostering an inclusive environment, we invite you to explore the opportunity to join our team and drive both our success and the success of our customers.,

The Supply Chain Planning Data Scientist role at HP involves collecting, cleaning, preprocessing, and analyzing large datasets to derive meaningful insights and actionable recommendations. You will be responsible for creating clear and effective visual representations of data using charts, graphs, and dashboards to communicate findings to technical and non-technical audiences, empowering teams across the organization to work more efficiently and effectively. As a member of a team of data science engineers, you will be involved in the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property. You will create plans, data collection and analysis procedures, and data insight visualizations for assigned projects, collaborating with internal and external partners to perform experiments and validations in accordance with the overall plan. In this role, you will identify and drive scalable solutions for building and automating reports, data pipelines, and dashboards to monitor and report on operational performance metrics. Collaboration with cross-functional teams to understand business requirements and develop data-driven solutions is a key aspect of this role. Additionally, you will provide guidance and mentoring to less-experienced staff members, solve difficult and complex problems with a fresh perspective, and lead moderate to high complexity projects, delivering professionally written reports, and supporting the realization of operational and strategic plans. The ideal candidate for this position should have a four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or commensurate work experience or demonstrated competence. Typically, candidates should have 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field, or an advanced degree with 3-5 years of work experience. A preferred certification in Programming Language/s (SQL, Python, or similar) is recommended. Proficiency in Agile Methodology, Business Intelligence, Computer Science, Dashboard, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Visualization, Data Warehousing, Extract Transform Load (ETL), Machine Learning, Power BI, Python, R, SAS, SQL, Statistics, and Tableau is desired. Additionally, skills in Effective Communication, Results Orientation, Learning Agility, Digital Fluency, and Customer Centricity are valued. This role at HP impacts multiple teams and may act as a team or project leader, providing direction to team activities and facilitating information validation and team decision-making processes. The complexity of the position involves responding to moderately complex issues within established guidelines. HP is a technology company that operates in more than 170 countries worldwide, committed to creating technology that makes life better for everyone, everywhere. The company values diversity, equity, and inclusion, creating a culture where everyone is respected, can be themselves, and contribute to something bigger than themselves. HP celebrates the notion that individuals can belong and bring their authentic selves to work, fostering innovation and growth. Join HP in reimagining and reinventing what's possible in your career and the world around you. Embrace tough challenges, disrupt the status quo, and create what's next alongside a team of talented individuals dedicated to making a meaningful difference. Thrive at HP and be a part of shaping a better future for all.,

As an Ind & Func AI Decision Science Analyst Level 11 in Accenture's Strategy & Consulting Global Network Data & AI practice focused on Marketing Analytics, you will have the opportunity to work with a team of smart and driven professionals who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. You will play a key role in utilizing the power of Artificial Intelligence to help clients achieve high performance through data-driven insights and informed decision-making. From defining data requirements to building and fine-tuning Large Language Models (LLMs), you will be at the forefront of developing innovative solutions using Generative AI. Your responsibilities will include harnessing the capabilities of Generative AI and LLMs, defining data requirements, performing data cleaning and analysis, managing data pipelines, training models, evaluating performance, and collaborating with cross-functional teams to integrate AI solutions into end-to-end processes. You will also stay abreast of the latest advancements in Generative AI, explore new techniques to enhance model capabilities, and document methodologies for knowledge sharing. To excel in this role, you should hold a Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing, or related disciplines with a strong academic background. Additionally, you should have at least 2 years of experience in Data Science, preferably within the Marketing domain, proficiency in Python and SQL, and hands-on experience with at least one prominent Large Language Model. Familiarity with cloud platforms such as AWS, Azure, or GCP, excellent communication skills, critical thinking abilities, and a strong desire to learn and adapt to new advancements in Generative AI and Marketing Analytics are essential. This role offers you the opportunity to work on projects that directly contribute to business performance improvement, collaborate with a diverse team of professionals, and access training and mentorship to enhance your skills and knowledge. If you are passionate about leveraging AI technologies to drive business growth and are eager to contribute to high-impact projects, this position is ideal for you. Join us in leveraging the power of AI to unlock new possibilities and create impactful solutions for our clients.,

The Model Governance Analyst in the Cybersecurity Science and Analytics (CS&A) team at HSBC plays a crucial role in safeguarding customer and company assets by overseeing and ensuring compliance with AI/ML models. As part of the Advanced Projects team, you will collaborate with global cybersecurity specialists, data scientists, and software engineers to streamline model governance within Cybersecurity and the bank. This role requires a positive attitude, eagerness to learn, and the ability to thrive in a fast-paced, collaborative environment. Your responsibilities will include processing model governance tickets, reviewing model use cases for compliance, supporting the governance lifecycle, and continuously improving model governance policies. You will also maintain a centralized model inventory, prepare reports for regulatory compliance, and identify process improvements to streamline workflows. Additionally, you will be involved in Agile project management tasks such as preparing communications for stakeholders, documenting requirements, managing project timelines, and providing administrative support to the Model Oversight Chair. Collaboration with diverse teams is essential, and you will be expected to build positive relationships with internal collaborators and provide regular updates on AI model activity. To excel in this role, you should have 3-5 years of experience in financial services, AI/ML risk management, model governance, regulatory compliance, or technology. A degree in Science, Technology, Engineering, or related fields is preferred, or equivalent career experience in data, technology, or programming. Technical skills in scripting languages (e.g., Python, Java, C#), familiarity with Cyber/AI technologies, and experience with Agile project management tools are advantageous. Key attributes for success in this role include a positive attitude, strong work ethic, eagerness to learn, excellent organizational and communication skills, and the ability to collaborate effectively across teams. If you are a proactive team player who thrives in a collaborative environment and is committed to continuous learning and improvement, we encourage you to apply for this exciting opportunity in model governance within the cybersecurity domain.,

The ideal candidate for the role of VP Data Science should have a strong background in data analytics, business intelligence, and management. As a visionary leader, you will drive the Data and Analytics, BI function to facilitate data-driven decision-making across the organization. Your responsibilities will include overseeing the development and implementation of machine learning predictive models, BI tools, and systems. It is crucial to ensure data accuracy and integrity while providing actionable insights to various departments. Effective communication, a strategic mindset, and the ability to collaborate with cross-functional teams are essential for success in this role, as you will play a critical part in helping the organization leverage data to achieve its business goals and objectives. Your key responsibilities will involve developing and implementing the overall Data and Analytics, BI strategy, as well as supervising the design, development, and maintenance of predictive models, BI tools, and systems. You will be accountable for ensuring data accuracy, integrity, and security, and providing actionable insights to support business decision-making. Collaboration with cross-functional teams to comprehend their data needs, managing and mentoring a team of data analytics professionals, setting performance goals, and conducting regular performance reviews are also part of your role. Staying updated with the latest trends and technologies, developing and maintaining data governance policies, and delivering presentations to senior management are critical responsibilities. Additionally, monitoring and reporting on key performance indicators (KPIs), identifying opportunities for process improvements, and ensuring compliance with data privacy regulations will be essential in this position. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred. Prior experience in business intelligence/data analytics and a leadership role is required. Proficiency in R/Python, Machine Learning, Databases, Dashboards, as well as a strong understanding of Data Science, Machine Learning, and Data Analytics, are necessary. Familiarity with BI tools and systems, excellent analytical and problem-solving skills, and strong communication and presentation abilities are also essential. Experience with data warehousing, ETL processes, SQL, and other database query languages is expected. The ability to work collaboratively with cross-functional teams, strong project management skills, and knowledge of data governance and data privacy regulations are crucial. Experience in Banking and Financial services, particularly in predictive modeling of regulatory and non-regulatory credit risk domain, would be advantageous. In conclusion, the VP Data Science role demands a dynamic individual who can effectively lead the Data and Analytics, BI function, drive strategic decision-making through data insights, and contribute significantly to the organization's success in achieving its business objectives.,

As a Business Analytics Analyst at Stellantis, your primary mission is to deliver data-driven insights that enhance business performance, optimize customer engagement, and drive efficiency and revenue growth. Working within the Artificial Intelligence & Data Analytics (AIDA) team, you will collaborate with various stakeholders to analyze key metrics, offer actionable recommendations, and support the success of Stellantis" software products and subscription services. Your responsibilities will include developing and monitoring key metrics such as churn, acquisition, retention, and revenue to identify trends and address challenges for improved outcomes. You will conduct in-depth analyses to uncover business opportunities and risks, identify process optimization possibilities, and deliver insightful outputs to stakeholders. Collaboration with analytics engineering for data model refinement, supporting predictive and prescriptive analytics initiatives, and ensuring data accuracy and integrity are also key aspects of your role. To excel in this position, you must possess the ability to translate data into actionable insights that drive strategic business decisions. Your expertise should extend to analyzing and optimizing subscription and software performance metrics, defining customer behavior measurement metrics, and possessing attention to detail to present compelling stories in various formats. A collaborative mindset, continuous learning, and adaptability in a fast-paced, data-driven environment are essential traits for top performers in this role. To qualify for this position, you should have at least 3 years of experience in business analytics or a data-focused role, with a Bachelor's or higher degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field. Proficiency in SQL, Python, or other data analysis tools, as well as experience with data visualization tools such as Power BI, Tableau, or Looker, is required. Experience with large datasets, statistical analysis techniques, and notebook-based workflows like Jupyter or Databricks would be advantageous. Strong communication skills, a collaborative approach, and a passion for automotive software and subscription-based business models are also sought after. Joining Stellantis offers you the opportunity to shape the future of automotive, drive business growth, strategy, and customer experience, develop your skills in an innovative and data-driven environment, and gain exposure to cutting-edge analytics tools and methodologies. If you are a proactive, passionate individual with a human-first approach to problem-solving, this role could be the perfect fit for you. Apply now to be part of a global mobility player committed to providing distinctive, appealing, affordable, and sustainable mobility solutions for all. For further details and to apply, please send your profiles to careers.swxindia@stellantis.com with the following information: - Total years of experience: - Current CTC: - Expected CTC: - Notice Period: Stellantis is an equal opportunity employer, welcoming applications from individuals of all gender identities, ages, ethnicities, and nationalities. We value diversity and inclusion as we strive to meet the evolving needs of our customers and ensure a sustainable future. Your privacy is important to us, and by submitting your application, you agree to our privacy notice available at https://www.stellantis.com/en/privacy.,

As a GATE DA - Faculty member at VisionGATE, a leading institute in GATE Preparation in India, you will play a crucial role in preparing students for the Graduate Aptitude Test in Engineering (GATE) in Data Science and Artificial Intelligence. Your responsibilities will include leveraging your extensive knowledge and teaching expertise to conduct offline classes at our Thane center, ensuring that every student receives personalized attention and guidance to excel in their exams. To excel in this role, you must hold a Master's degree in Computer Science, Mathematics, or a related field. Proficiency in Artificial Intelligence and Machine learning subjects is essential, along with a strong command of spoken and written English. Your ability to develop graduate-level educational content and problem sets, coupled with excellent analytical and problem-solving skills, will be key to your success in preparing students effectively. Moreover, your collaborative spirit and demonstrated experience in working within a team environment will be highly valued. If you have prior experience in developing and delivering online educational courses, it would be considered a significant advantage. Your exceptional communication and interpersonal skills will be instrumental in creating a conducive learning environment for students. Join us at VisionGATE to make a meaningful impact on students" lives and contribute to their academic success. Let's work together to help aspiring students achieve their dreams of gaining admission to premier institutes in India.,

The purpose of this role is to provide support for the collection, analysis, and dissemination of insights to our clients Job Description: Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Applies data science methods to provide insights and recommendations to clients Delivers analytic outcomes based on project timelines and key milestones Maintains knowledge of new trends in the data science industry Develops and manages code used for analytics purposes Communicates findings and insights Location: Bangalore Brand: Merkle Time Type: Full time Contract Type: Permanent

AI Engineer: 1 onsite and 3 offshore AI Engineers skilled in AI , Python, Data Science and Machine Learning. Ex: 4-8yrs, Location: Remote location in India , onsite is also remote, India India: Less than INR 15000/day, US: $75-$100, Pharma background is not mandatory

Description Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools. Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance. Develop and enforce data engineering best practices, including coding standards, testing, and documentation. Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement. Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations. Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices. Qualifications Systems (MIS), Data Science or related field. 15 years of experience in data engineering and/or architecture, with a focus on big data technologies. Extensive production experience with Databricks, Apache Spark, and other related technologies. Familiarity with orchestration and ELT tools like Airflow, dbt, etc. Expert SQL knowledge. Proficiency in programming languages such as Python, Scala, or Java. Strong understanding of data warehousing concepts. Experience with cloud platforms such as Azure, AWS, Google Cloud. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and leadership skills, with the ability to effectively mentor and guide Experience with machine learning and data science workflows Knowledge of data governance and security best practices Certification in Databricks, Azure, Google Cloud or related technologies. Job Engineering Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 252684 Job Hire Type Experienced Not Applicable #BMI N/A

Career Category Engineering Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr Data Science Engineer What you will do Let s do this. Let s change the world. In this vital role we are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Functional Skills: Must-Have Skills: Strong foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e. g. , MLflow, Kubeflow, Airflow); Experience in DevOps tools (e. g. , Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e. g. , TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e. g. , Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Familiar with AWS, Azure, or Google Cloud; Familiar with Databricks platform for data analytics and MLOps Education and Professional Certifications Masters degree / Bachelors degree and 5 to 9 years [Job Code s Discipline and/or Sub-Discipline] Cloud Computing certificate preferred Machine Learning and Data Science related certification Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Career Category Engineering Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Science Engineer What you will do Let s do this. Let s change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree / Bachelors degree and 5 to 9 years [Job Code s Discipline and/or Sub-Discipline] Functional Skills: Must-Have Skills: Solid foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e. g. , MLflow, Kubeflow, Airflow); Experience in DevOps tools (e. g. , Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e. g. , TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e. g. , Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Technical Leadership: Lead the design, development, and deployment of machine learning and AI models in real-world environments. Drive innovation using supervised, unsupervised, and deep learning algorithms to solve business problems. Provide technical direction and hands-on support for Python-based ML development , model evaluation, and data pipelines. Team & Project Management: Manage a team of data scientists, analysts, and ML engineers mentoring, guiding, and reviewing project progress. Define project scope, timelines, and deliverables aligned with business objectives. Ensure projects are delivered on time, within scope, and with high quality using Agile/Scrum methodologies. Business Collaboration: Act as the primary point of contact between data science teams and business/product stakeholders. Translate business challenges into analytical problems and actionable insights. Present insights and technical concepts to executive leadership in a clear, strategic manner. Strategic Planning: Develop the data science roadmap in alignment with broader organizational goals. Identify opportunities for AI/ML adoption , automation, and optimization across business processes. Evaluate new tools, platforms, and partnerships that can enhance the data science capability. EXPERIENCE 12-14 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Modeling, AI/ML Project Management, Data Science

At Capital One, we think big and do bigger things We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since, Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one We are a passionate and entrepreneurial team with heart a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services impacting over 65 million customer accounts, Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other Our goal is simple bring ingenuity, simplicity and humanity to an industry ripe for change, At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced analytics, data science, machine learning and cutting edge engineering We specialize in deriving valuable insights about various aspects of the business including product and process design, consumer behavior, regulatory and credit risk, and much more from large volumes of data to build cutting edge patentable products at an industrial scale, DataLabs is looking for an experienced Office Manager This is a great opportunity for a detail-oriented, innovative, and experienced candidate to drive strategic themes that are key to the well being of the organization and its growth The people of DataLabs are committed to Capital Ones corporate culture of excellence and doing the right thing Our work environment is fast paced, collaborative, and fosters problem solving and innovation The ideal candidate for this role should fit well with these organizational attributes S/he should have exceptional personal integrity and communication skills, and be able to win the trust and respect of associates by communicating openly and consistently meeting commitments, DataLabs prides itself on its exceptionally vibrant culture Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us The enthusiastic volunteerism of our associates is the backbone of all that we do it enables us to push the envelope of possibilities and have incredible fun along the way We bend backwards to take care of one another through thick and thin Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives, Specific responsibilities include, but are not limited to: Calendar Management: Manage complex calendars of Senior Executives independently and efficiently ensuring that their time is spent well, Travel Management: Planning of travel itinerary, Ticketing, Hotel and cab bookings, Travel/Expense reports and related coordination, Event Management: End to end management of Events like Town Halls, Team meetings, fun events, Executive visits, Recognitions, Celebrations etc including budget management, Vendor Management: Collaborate with vendors and manage contracts, purchase orders, invoices, payments, etc Others: Own and maintain team share drives and manage the inhouse Library To undertake other tasks and assist teams as assigned, Capital One DataLabs is growing rapidly Many exciting opportunities are additionally available for the right candidate depending on experience and performance during the interview process and on the job These opportunities include program management for senior leadership, strategic staff initiatives, support for our corporate social responsibility and other volunteer programs, recruiting and branding activities, and much more, What are we looking for Strong communication skills: Impeccable written and verbal communications, coupled with influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills Teamwork: Excellent interpersonal skills and the ability to interact with individuals at all levels of the organization, Clear results orientation: Resourcefulness with strong problem-solving skills Display an intense focus on achieving both short and long term goals, Others: Excellent time management skills and understanding of the urgency of matters related to the task Strong judgment and emotional intelligence are essential for this position Successful track record of thriving in a fast paced, entrepreneurial, and dynamic environment, Basic Qualifications: Bachelors degree Preferred Qualifications: Masters degree 10+ years experience as an Executive Assistant Proficiency in Google suite At this time, Capital One will not sponsor a new applicant for employment authorization for this position No agencies please Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Location - Gurugram,Bengaluru,Hyderabad,Pune,Noida,India

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

About Newton School Come be part of a rocketship thats creating a massive impact on the world of technology, On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are 1000s of companies struggling to find talent Newton School aims to bridge this massive gap through its personalized learning platform We are building an online university and solving the deep problem of employability of graduates, We have a strong core team consisting of alumni from IIT's and IIMs, having several years of industry experience in companies like Unacademy, Inmobi among others On this mission, we are backed by some of the most respected investors around the world, RTP Global, Nexus Venture Partners and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy founders, Udaans Sujeet Kumar among others, Role Newton School is looking for an extremely Enthusiastic pedagogy oriented, process driven leader to make the overall academic experience for all Newton School students from great to awesome! Most Desired Skills Must have handled large teams across multiple functions and executed processes over the years, Has a really good fundamental understanding of the tech world, tech systems and coding essentials, Hands-on working experience on either of the tech stack React, DevOps, Java, Data Science, Machine Learning etc At least 2 years of teaching experience in either any online education platform or in any recognised university of institute Have really great inter-personal skills and can communicate thoroughly with confidence across multiple teams Business Oriented mindset along with Student's empathy driven attitude Take Responsibility of overall tech content creation team and their processes Handle and prioritise blockers regarding content creation and generation Key Responsibilities Work with multiple teams across functionality and work as academic counsellor to best achieve student's pedagogical intent Create awesome teaching experience from fundamentals to practical oriented to finally outcome oriented education across a variety of students and variety of courses, Setup processes and Implement new ideas on generating and consuming technical content required for all the stakeholders (Students, Instructors, Mentors and Teaching Assistance) Bonus Points Worked at similar positions in other ed-techs or universities before, Has very keen revolutionary attitude about teaching methodology as a whole Our Way Of Working An opportunity to work on something that really matters, A fast-paced environment to learn and grow, High transparency in decision making, High autonomy; freedom to take risks, to experiment, and to fail, Market Competitive salary We promise a meaningful journey with smart people, with opportunities to learn & grow Plus, you can sleep peacefully knowing you are impacting lives in a big way, every day! Show

We seek a forward-thinking Senior AI Engineer who has strong domain knowledge of Model development & working to transform and fine-tune existing LLMs The candidate will work directly with the Founder and the CTO in developing a new-age product in the Insurance space, which has the potential to generate $10B in revenues at scale (a first-of-its-kind, but a much-needed innovation), Key Responsibilities Dataset Creation and Management (with Sales & Conversational Focus): Lead the design, development, and curation of high-quality datasets specifically tailored for building robust AI models This includes data collection strategies, data cleaning, feature engineering, and ensuring data integrity and suitability for various modeling tasks Crucially, this will involve creating and annotating conversational datasets for sales interactions, including intent recognition, entity extraction, dialogue states, and effective sales responses, Model Development & Deployment: Architect, develop, train, and deploy advanced AI/Machine Learning models for various applications This will involve selecting appropriate model architectures ( e-g , deep learning, traditional ML), optimizing model performance, and ensuring scalability and reliability in production environments, Conversational Sales AI Development (Core Focus): Design, build, and optimize a sophisticated conversational AI agent specifically for selling health insurance products This includes: Developing dialogue management systems that guide users through the sales funnel, Implementing intent recognition and entity extraction models tailored to health insurance queries and sales interactions, Crafting compelling and compliant sales responses that address customer needs, handle objections, and provide accurate product information, Ensuring the AI can effectively qualify leads, explain complex policy details, and guide users towards conversion, Prompt Engineering & Dialogue Flow Optimization: Design and optimize prompts for large language models (LLMs) to achieve desired outcomes for specific business use cases, with a strong emphasis on natural, persuasive, and effective sales conversations This includes developing robust strategies for managing complex conversation flows, ensuring seamless transitions, and maintaining context throughout the interaction, Evaluation Criteria & Validation: Define and implement rigorous evaluation criteria across the entire AI pipeline, from dataset creation to model validation This includes establishing metrics for data quality, model performance, bias detection, and ensuring robust validation strategies to build trustworthy and reliable AI systems For conversational AI, this will also include metrics for dialogue success, user satisfaction, conversion rates, and adherence to sales scripts/compliance, Data Science & Engineering Excellence: Apply strong data science principles to analyze complex data, extract insights, and formulate data-driven solutions Demonstrate proficiency in data engineering practices, including building scalable data pipelines, managing data infrastructure, and ensuring efficient data access for AI development, Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, and fintech/insurance domains, actively exploring and integrating new technologies and methodologies to enhance our AI capabilities, particularly in the realm of conversational sales, Show

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience, 9 years of experience using analytics to solve product or business problems, coding ( e-g , Python, R, SQL), querying databases or statistical analysis, 3 years of experience as a people manager within a technical leadership role, Preferred qualifications: Experience in leading and evolving data science and engineering teams with technical strengths, Experience preparing and delivering presentations to executive leadership, Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team, Ability to adept at distilling analyses into data driven narratives, Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels, About the jobAs a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Googles Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients You will closely collaborate with clients, agencies and internal teams, In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customersproblems in marketing You will be responsible for building and executing gTechs strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Googles Machine Learning capabilities to build innovative solutions that address our customer's problem-space, Responsibilities Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management, Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs) Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives, Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions, Influence stakeholders through effective presentations and written communication, Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Key responsibilities Responsibilities often include designing and implementing data science workflows using Azure Databricks, collaborating on data pipelines, optimizing PySpark jobs, and developing/deploying scalable ML and AI models, including Generative AI and LLMs. Data scientists also drive MLOps practices, analyze data for trends and models, translate requirements into data models, present findings, and stay updated on research. Required qualifications typically include relevant experience in applied data science, AI, and machine learning, with experience in developing ML models and hands-on experience with LLMs and Generative AI. Technical skills often needed are advanced Python programming with relevant libraries, proficiency in SQL and statistical languages, and deep familiarity with the Databricks platform components like Delta Lake, MLflow, and Unity Catalog. Strong understanding of big data technologies, machine learning techniques, and MLOps principles is also common. Other essential skills include excellent communication, problem-solving, analytical, and mathematical skills.

Do you want to shape the future of fintech and healthtech Energized by challenges and inspired by bold goalsReady to elevate your career alongside driven and talented colleaguesIf that sounds like you, explore a career at Alegeus today. Opportunity Happens Here . Director, Data Science Join our team at Alegeus, where you ll experience unmatched opportunity and a culture that cares deeply about succeeding together. As a Director, Data Science, you ll drive our technology vision forward and push the boundaries of innovation with cutting-edge solutions. This is your opportunity to work with groundbreaking technology and tackle complex challenges, shaping of future of our tech landscape. If you are passionate about innovation and eager to make a difference, we would love to have you as a part of our dynamic and forward-thinking team. OPPORTUNITY HAPPENS HERE REALIZE YOURS Alongside the best and the brightest, you will regularly: Define and drive AI strategy in collaboration with cross-functional leaders, aligning AI and data science initiatives with business objectives and healthcare regulatory standards (HIPAA, GDPR, etc.). Build and lead high-performing AI and data teams across geographies (US and Bangalore), scaling from the ground up and managing organizations of 10 100+ people including Data Scientists, ML Engineers, and AI Engineers. Develop and deploy AI-powered products such as agentic AI systems, conversational agents, and decision-support tools that enhance personalization, automation, and business efficiency in healthcare payments. Identify and deliver high-impact AI use cases including predictive analytics, fraud detection, intelligent financial tools, and automated customer service capabilities. Establish an AI-ready enterprise data platform, overseeing Data Engineering functions to ensure high-quality data integration, transformation, and optimization in support of AI innovation. Promote AI literacy and a culture of innovation, enabling cross-functional teams to effectively integrate AI into core offerings and championing an AI-first mindset throughout the organization. Implement MLOps and governance best practices to ensure secure, scalable, and continuously improving AI systems, while maintaining responsible AI principles and compliance. Drive thought leadership and innovation, representing Alegeus in industry forums, fostering external partnerships, and staying ahead of emerging AI trends in healthcare and fintech. ESSENTIAL SKILLS FOR CREATING A LASTING IMPACT Alegeus colleagues are known as problem-solvers, risk-takers, and innovative thinkers. As a Director, Data Science, these skills are essential for success: Abilities: Expertise in AI strategy, MLOps, and responsible AI governance, with a strong ability to design and deploy agentic AI systems, conversational agents, and decision-support tools. Skilled at identifying high-impact use cases such as fraud detection, predictive analytics, and intelligent financial automation. Adept at fostering AI literacy, promoting innovation, and aligning solutions with healthcare compliance standards (HIPAA, GDPR). Experience: Proven track record of building and scaling high-performing AI and data science teams (10 100+ members) across geographies, including the US and Bangalore. Extensive leadership experience in cross-functional collaboration, AI product development, enterprise data platform management, and deploying scalable AI solutions in regulated environments. Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Location : Bangalore. BECAUSE WE CARE, WE OFFER: A flexible work environment Competitive salaries, paid vacation, and holidays Robust professional development programs Comprehensive health, wellness, and financial packages SHARED AMBITION. INSPIRED FUTURE. At Alegeus, our success is guided by our aligned vision and values it is how we work together and collaborate to achieve our goals. People First . We pride ourselves in bringing talented people together and treating one another with care. Partner Powered . We are committed to empowering our partners, knowing our success is shared and we win as one. Always Advancing . We are driven by potential and relentlessly determined to achieve our goals.

Software Engineer - Data Scientist AI/ML This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today s complex world. Our culture thrives on finding new and better ways to accelerate what s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. : What you ll do: BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc Experience building data science-driven solutions including data collection, feature selection, model training, post-deployment validation Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow Works well in a team setting and is self-driven What you need to bring: Desired Experience: Experience with some/equivalent: AWS, Flink, Spark, Kafka, Elastic Search, Kubeflow Knowledge with NLP technology Demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities: Collaborate with team to understand feature, work with domain experts to identify relevant signals during feature engineering, deliver generic and performant ML solutions Keep up to date with newest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Lets Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Software Engineer - Data Scientist AI/ML This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Job Description: What you ll do: BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc Experience building data science-driven solutions including data collection, feature selection, model training, post-deployment validation Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow Works well in a team setting and is self-driven What you need to bring: Desired Experience: Experience with some/equivalent: AWS, Flink, Spark, Kafka, Elastic Search, Kubeflow Knowledge with NLP technology Demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities: Collaborate with team to understand feature, work with domain experts to identify relevant signals during feature engineering, deliver generic and performant ML solutions Keep up to date with newest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Lets Stay Connected: #india #networking Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.