If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun. We are looking forward to a Lead Data Scientist based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it’s in our values, part of our vision, and our clearly defined aspirational goals. This exciting role offers opportunity to: • Carry out data analytics and optimization using machine learning & deep learning and Involved in strategic planning for data analytics • Integrate data & perform ad-hoc analysis and prototype ideas, research and develop statistical models, and run experiments • Iterate in order to design data-driven solutions that help solve critical business problems and better understand company needs and contribute innovative ideas to enhance or develop products using new or existing data streams • Present and promote results to both internal stakeholders and external clients and partners • Use suitable databases and project designs to boost joint development efforts • Improve and support existing data science products and Develop custom data models and algorithms • Build tools and processes that help monitor and analyze performance and data accuracy and leverage predictive modeling to optimize targeting, revenue generation, customer experiences, and more • The candidate will demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables and project delivery throughout the project lifecycle. • The candidate is expected to be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment • Work with a team of experts in deep learning, machine learning, distributed systems, program management, and product teams, and work on all aspects of design, development and delivery of deep learning enabled end-to-end pipelines and solutions. • Lead the development of technical solutions and implement architectures for project and products across data engineering and data science teams • Will be able to work in a hands-on fashion with Big Data tools such as Kafka, Cassandra, Hadoop, Time Series Databases such as InfluxDB, KairosDB • Experienced in embedded software developer with good experience of different boards, microprocessors, test equipment, DSP etc. • Programing skill in several languages (mostly C/C++) and has good Linux platform. • Good software architecture skills to understands the end to end software development cycle including CI/CD and software release. • Evaluate business requirements to determine potential solutions • Work with your team and others, defining the architecture, design, and management of secure, large-scale, highly-distributed, geo-redundant, multi-tenant data stores. • Recommend and set up appropriate performance monitoring solutions; author and implement based on the results • Is accountable for end-to end delivery of solutions from requirements gathering to production • Author high-quality, highly-performance, unit-tested code to extract and transform data based on business and data science needs • Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems. • Mentor others in the use of tools and techniques • Develop and execute agile work plans for iterative and incremental project delivery, CI and dev/ops • Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies • Collaborate broadly across multiple functions (data engineering, product management, IT, etc.) to readily make key data readily available and easily consumable Qualifications • Master in Computer Science or Equivalent Engineering with Electives/Thesis in ML, Deep Learning, AI, Statistics, Data Mining, • Experience in Machine Learning, Deep Learning (CNN,RNN, ..), Open CV, Computer Vision, Reinforcement Learning, Optimization Techniques, Natural Language Processing, Recommendation AI Systems. • Experience in Tensor Flow, Keras, Scikit, Spark ML • Good Progamming Knowledge in Python, R, Matlab, C/C++, Java, PySpark, SparkR, Scala and has good Linux platform • Strong knowledge on Azure ML Pipeline, Databricks, MLFlow and MLOps. • Good software architecture skills to understands the end to end software development cycle including CI/CD and software release. • Experience in at least one cloud provider (AWS, Azure, Google) • Excellent communication (verbal, presentation, documentation) skills, working with teams that are geographically dispersed, to produce solutions that satisfy functional and non-functional requirements and the ability to effectively explain technical concepts • Ability to specify and write code that is accessible, secure, and performs in an optimized manner with an ability to output to different types of consumers and systems • Solid understanding of Java and/or Python and associated IDE’s (Eclipse, IntelliJ, etc.) • Extensive experience with Agile development methodologies and concepts • Strong problem solving and software debugging skills • Experience building APIs to support data consumption needs of other roles • Abreast of upcoming software development/engineering tools, trends, and methodologies • Good judgment, time management, and decision-making skills Desired: • Knowledge of design and deployment of a Data Lake • Knowledge of Cloudera Hadoop, ML ops • Knowledge of IoT technologies, including cloud processing, like Azure IoT Hub. • Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area • Advanced degree and/or specialization in related descipline (e.g. machine learning) • Knowledgeable in leveraging multiple data transit protocols and technologies (MQTT, Rest API, JDBC, etc) • Knowledge of Hadoop and MapReduce/Spark or related frameworks • Knowledge of MongoDB, Document DB, CosmosDB • Knowledge of Scala Yes! Because you are the one we are looking for, we hope to hear from you now! #LI-PD1 What you will get from us Eaton’s mission is to improve the quality of life and the environment through the use of power management technologies and services. We provide sustainable solutions that help our customers effectively manage electrical, hydraulic and mechanical power – more safely, more efficiently and more reliably. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours. Eaton’s 2020 revenues were $17.9 billion, and we sell products to customers in more than 175 countries. We have approximately 85,000 employees. We make work exciting, engaging and meaningful for our employees through our dedication to tackling some of the toughest power management challenges on the planet and by never losing sight of what matters. Our culture is built on a strong commitment to practicing our core values and supporting our employees with the tools they need to succeed. We pledge to always foster a diverse and inclusive environment, including inclusion resource groups that bring together employees who share a common purpose, interest or background. In the past year, our company has received top employment recognition by the Human Rights Campaign and almost fifty percent of our Board of Directors represented diverse groups. When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we — as individuals and as a company — are stronger. We have demonstrated our passion for sustainability with the recent announcement of cutting carbon emissions from the company’s operations by at least 50 percent by 2030. We are ethical, passionate, accountable, efficient, transparent and committed to learning. We are confident we can deliver on our promise to improve the quality of life and the environment because of the attributes that our employees embody. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Job: Engineering Region: Asia Pacific Organization: INNOV Innovation Center Job Level: Individual Contributor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No Does this position offer relocation?: No Travel: Yes, 10 % of the Time