The Company
 

Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what’s now to what’s next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.

The Role
 
We are seeking for Data Scientist 

Must Have Skills 

• Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are:
  • Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc.
  • Statistical modeling - CHAID, CART, Regressions, SVM, SVD etc.
  • Experience on the text analytics stack - NLP, NLU, LDA, TF-IDF etc.
• Ability to communicate analytics-based insights to business stakeholders. Independent problem solver comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel
• Demonstrated experience in delivering analytics projects in high pressure environments
• MS in Computer Science, Engineering, Mathematics, Statistics or a related field with solid exposure to Machine Learning and/or Advanced Analytics with 5+ years of experience in predictive analytics and exposure to big data analytics. MBAs with relevant data science skills will also be considered.
• Strong understanding of the electrical engineering domain.
• Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql
• Hands-on experience with Python libraries - NumPy, Pandas, sklearn
• Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source data sets using Hive, Hadoop or Spark (PySpark) is a plus.
• Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB
• Demonstrated the use of data optimization (Linear/Non-linear) to solve constrained business problems
• Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB

Roles & Responsibilities

• Problem solver with curious mindset with a high execution bias having relevant work experience in Data Science in engineering domain.
• Data scientist with hands on expertise in building and executing analytics modules on various technology platforms including big data technology platforms.
• Own and complete work streams from business levers, domain know-hows and bias for execution and delivery.
• Be able to compile results from various work streams and be able to make coherent presentations to internal and external stakeholders.
• Experience in building or managing data products, high performer and problem solver.
• Applying best practices to manage solution implementations including code design and reviews

 Personal Competencies

• Excellent cooperation and communication skills
• Problem solver, and team player
• Responsible and proactive
• Ability to work independently

 
We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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