Lead Data Scientist

Key Skills

Aartificial intelligence, AWS, Azure, C Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, Data Mining, Data science techniques, Deep Learning, Google Cloud Platform (GCP), Keras software library, Leadership Skill, Linux Operating system, Machine learning techniques, MATLAB Programming, PySpark, Python Programming, R Programming, Scala Programming, Scikit-learn, Signal processing, SparkML, TensorFlow

Job Description

What you’ll do:

Eaton Corporation’s Center for Intelligent Power has an opening for a Lead 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. 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.

• 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. 

Qualifications:

Bachelors degree or Master’s degree or Ph.D. (preferred) in computer science, Data Science, Electronics, Digital signal processing or related field.

• 9+ years of progressive experience in delivering technology solutions in a production environment
• 6+ years of experience in the software industry as a developer, with a proven track record of shipping high quality products
• 4 years working with customers (internal and external) on developing requirements and working as a solutions architect to deliver end-to-end solution

Skills:

• 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, 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)
• Experience in deployment of ML/AI algorithms in Industrial environments, knowledge of Industrial machines and systems
• 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