Intern - Data Scientist

2 months ago


Hadapsar Pune Maharashtra, India Eaton Corporation Full time

**What you’ll do**:

- 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 shall be
- experienced in Machine Learning, Deep Learning and AI based algorithm
- development. In addition to this Data Scientist will also be involved in successful
- integration of these algorithms in embedded, edge or cloud systems using software
- release process.- Data Science Model development using machine learning, deep learning also

involving digital signal processing- Improve and support existing data science products and Develop custom data models

and algorithms- Experienced in embedded software development with good experience of different

boards, microprocessors, test equipment, DSP etc.- 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- 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
- 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.- Collaborate broadly across multiple functions (data engineering, product management,

IT, etc.)**Qualifications**:

- Bachelor or master’s degree or pursuing in computer science, Data Science, software
- engineering, digital signal processing, Electrical or Electronics Engineering- Keen on delivering technology solutions in a production environment

**Skills**:

- TECHNICAL KNOWLEDGE- Master Computer Science or Equivalent Engineering with Electives/Thesis in ML, Deep Learning, AI, Statistics, Data Mining
- Exposure to Machine Learning, Deep Learning (CNN,RNN,..), Reinforcement Learning, Optimization Techniques, Computer Vision, Natural Language Processing,Recommendation AI Systems.
- Exposure to Digital Signal Processing, Fourier transform, filtering methods, etc.
- Exposure to tinyML, Tensor Flow, Scikit, Keras, Spark ML
- Good Progamming Knowledge in Python, R, Matlab, C/C++, PySpark, and has good Linux platform
- Good software architecture skills to understands the end to end software development cycle including CI/CD and software release.
- Exposure to 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 Python and associated IDE’s (Eclipse, Visual Studio, PyCharm, etc.)
- Strong problem solving and software debugging skills
- Abreast of upcoming software development/engineering tools, trends, and methodologies
- Good judgment, time management, and decision-making skills

Desired:
- 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
- Knowledgeable in leveraging multiple data transit protocols and technologies (MQTT, Rest API, JDBC, etc)

SOFT SKILLS
- Excellent verbal and written communication skills including the ability to effectively explain technical concepts
- Work as a part of virtual, global team- Good interpersonal, negotiation and conflict resolution skills



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