Data Scientist

Bangalore, IN

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Hitachi Vantara
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Posted 2 weeks ago

Hitachi Vantara combines technology, intellectual property and industry knowledge to deliver data-managing solutions that help enterprises improve their customers’ experiences, develop new revenue streams, and lower the costs of business. Hitachi Vantara elevates your innovation advantage by combining IT, operational technology (OT) and domain expertise. Come join our team and our employee-focused culture, and help drive our customers’ data to meaningful customer outcomes.

 

Responsibilities:

 

Lead data science and machine learning efforts in products and solutions involving IoT, Big Data, Cloud and microservices

  • The products and solutions are being designed using artificial intelligence and analytics into problems involving management and root cause analysis for IT operations, manufacturing and data centers to provide valuable insights and quantifiable RoI to end users 
  • Mentor and guide data science team members as well as developers and QA engineers working on the products
  • Work with business managers to frame a problem, both mathematically and within the business context
  • Perform exploratory data analysis to gain a deeper understanding of the problem
  • Understand business data and how to use it appropriately in data analysis
  • Construct and fit statistical, machine learning, or optimization models using Spark and TensorFlow
  • Apply and develop appropriate advanced statistical, machine learning, and/or deep learning models and algorithms to classify structured or unstructured data
  • Collaborate with internal stakeholders to understand business challenges and develop analytical solutions to optimize business processes
  • Test performance of machine learning and deep learning models

Qualifications:

  • 10 to 15 years’ overall experience designing, implementing and successfully delivering enterprise/SAAS product with analytics features
  • 10+ years of experience in analytics, data science, data mining, machine learning or comparable product/consumer analytics role
  • Bachelor's degree in Computer Science, Operations Research or Math/Statistics
  • Experience in working with multi-dimensional data
  • Top notch communication skills to convey key insights from complex analysis, both oral and written
  • Experience in Spark MLLib, PySpark, NumPy/SciPy, TidyData
  • Experience with agile and Scrum
  • Ability to work with distributed teams in a collaborative and productive manner 
  • Self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities

Desired Skills:

  • Experience working with TensorFlow, Open CV, Deep learning experience and time series analysis
  • Exposure or experience in IoT/Industrial automation and/or DevOps experience
Job tags: Big Data Data Mining Deep Learning Industrial Machine Learning NumPy PySpark Research SciPy Scrum Spark TensorFlow