Senior Data Scientist

Job Description

Description: 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 Senior 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. Eaton Corporation s Center for Intelligent Power has an opening for a Senior Data Scientist who is passionate about his or her craft. The Data Scientist will be experienced in Machine Learning, Deep Learning and AI based algorithm development for Computer Vision. In addition to this Data Scientist will also be involved in successful integration of these algorithms in edge or cloud systems using CI/CD and software release process.This exciting role offers opportunity to:

• Carry out data analytics and optimization using machine learning & deep learning and Involved in strategic planning for computer vision based 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.

QualificationsRequirement:

• Master s degree in Computer Science, Data Science, Software Engineering, Digital Signal Processing, or related field.
• 6+ years of progressive experience in delivering technology solutions in a production environment
• 4+ years of experience in the software industry as a developer, with a proven track record of shipping high quality products
• 2 years working with customers (internal and external) on developing requirements and working as a solutions architect to deliver end-to-end solution.
• Master Computer Science or Equivalent Engineering with Electives/Thesis in ML, Deep Learning, AI, Statistics, Data Mining
• Experience in Machine Learning, Deep Learning (CNN,RNN, .), Reinforcement Learning, Optimization Techniques, Computer Vision, Image Processing, Image Analytics, Video Analytics, Natural Language Processing, Recommendation AI Systems.
• Experience in Tensor Flow, Scikit, Keras, 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-PD1We make what matters work. Everywhere you look from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day you ll find one thing in common. It all relies on power. That s why Eaton is dedicated to improving people s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters.We are confident we can deliver on this promise because of the attributes that our employees embody. We re ethical, passionate, accountable, efficient, transparent and we re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.Job: EngineeringRegion: Asia PacificOrganization: INNOV Innovation CenterJob Level: Individual ContributorSchedule: Full-timeIs remote work (i.e. working from home or another Eaton facility) allowed for this position : NoDoes this position offer relocation : Relocation from within hiring country onlyTravel: Yes, 10 % of the Time,

Keyskills :
time seriesdata sciencealgorithmsbig dataoracle dbasqldata modelsdigital signal processinganalyticsmachine learningnatural language processingstatements of work sow