Data Scientist - Hadapsar, Pune, Maharashtra, India - Eaton
Description
What you'll do:
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.
Data Scientist
based in
Pune, India.
In Eaton, making our work exciting, engaging, and meaningful; ensuring safety, health, and 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 an opportunity to:
Eaton Corporation's Center for Intelligent Power has an opening for a Data Scientist who is passionate about his or her craft.
The Data Science Engineer will be involved in the design and development of ML/AI algorithms to solve power management problems.
In addition to developing these algorithms & developing visualization using Power BI, the Data Science Engineer will also be involved in successful integration of algorithms in edge or cloud systems using CI/CD and software release process.
- Experience on ML/AI model development and related development environment that enables ML/AI algorithms for use on various processors or systems- Data analysis and visualization on using tools such as Power BI, Tableau would be part of delivery process
- 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 endtoend pipelines and solutions.
- Development of technical solutions and implement architectures for project and products along with data engineering and data science teams
- Participate in architecture, design, and development of new intelligent power technology products and production quality end to end systems
Qualifications:
- Bachelor's/Master degree in Computer science or software engineering, Electrical/Electronics/Mechanical Engineering or equivalent
- 2 years working with customers (internal and external) on developing requirements and working as a solutions architect to deliver"
Skills:
"Required:
- Master Computer Science or Equivalent Engineering with Electives/Thesis in ML, AI
- Experience in Statistics, Data Mining, hypothesis validation
- Experience in Machine Learning, Deep Learning, Reinforcement Learning (CNN, RNN), Optimization, Natural Language Processing, Text Mining, Sentiment Analysis, Recommendation AI Systems
- Experience of developing lead generation, cross selling algorithms & recommendation system would be an added advantage
- Experience in Knowledge Graphs
- Graph Database, Spark Graph Frames, Neo4j and related graph tools
- Excellent command over one or more data visualization tools such as Qlik Sense, Tableau, Power BI, etc.
- Experience with one or more coding languages such as Python, JSON, JavaScript, Angular JS, Node JS, AJAX and Jquery
- Experience with one or more data gathering tools such as SQL, Tableau Prep, etc.
- Experience in big data platforms and databases like Cloudera Hadoop, MapReduce/Spark or related frameworks, knowledge of MongoDB, Document DB, CosmosDB
- Experience in Tensor Flow, Scikit, Keras, Spark ML, Databricks, MLFlow
- SW Development lifecycle process & tools
- Agile development methodologies and concepts including hands on with Jira, bitbucket and confluence.
- ML/AI Pipleine & Development lifecycle & tools, MLOps Knowledge
- Desired:
- Knowledge on Continuous Integration/Continuous Delivery (CI/CD) i.e. Jenkins, GIT, Travis-CI
- Knowledge of design and deployment of a Data Lake
- Knowledge of IoT technologies, including cloud processing, like Azure IoT Hub.
- Knowledge of data analysis tools, like Apache Presto, Hive, Azure Data Lake Analytics, AWS Athena, Zeppelin
- Experience in Design Thinking or humancentered methods to identify and creatively solve customer needs, through a holistic understanding of customer's problem area
- Knowledgeable in leveraging multiple data transit protocols and technologies (MQTT, Rest API, JDBC, etc)
- Knowledge of Hadoop
- Knowledge of Scala
- Cloud and big data knowledge and experience in building and demonstrating POCs
- Supply Chain & Logistics background / Business Process Improvement
- Experience in Ontology"
- Experience being part of larger teams with established big data platform practices, as well as smaller teams where they made a bigger impact in terms of scope.
- Experience of working with global teams work while using strong communication skills to interact with global tea
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