Job Summary
10 - 13 years
• Software Engineer,
• Computer Programmers, Other,
Data Entry Machine Operator,
• Computer Programmer
Last Date to Apply
26 Jun 2021
Data Scientist
Hewlett Packard Enterprise
Posted on: 27 Apr 2021
Job Description

Job Duties and Responsibilities
  • Supports Data preparation, on demand Data processing for analytical solutions leveraging transformational technologies.
  • Works on multiple projects as an analytics platform COE team member or lead user story analysis, elaboration, design and development of analytical APIs, testing, and builds automation.
  • Works with team members to design and implement Data analytics solutions within project schedules
  • Code, unit test, train Data and create documentation for analytical applications according to the Data and analytics blueprint
  • Works with Data engineers and developers to make sure that all Data solutions are consistent.
  • Expands and grows analytical platform capabilities to solve new intelligence and insight challenges.
  • Incorporates security controls and techniques as required in the solutions and platforms
  • Ensures all automated processes established to improve reusability and overall productivity of Data scientists and Data analysts
  • Helps create and maintain Analytical development lifecycle and ML model management process

Job Qualifications
  • Bachelor's degree in Computer science, Engineering, Data Science, Business Analytics and other technical discipline, or equivalent work experience.
  • 10+ years' experience with Data science, Machine learning and Data engineering.
  • Experience with Statistical modeling, Machine learning, AI, Advanced big Data processing and Data preparation.
  • Experience with agile or other rapid application development methods.
  • Understands how algorithms work and have experience building algorithms.
  • Significant knowledge of analytical modeling and understanding of different Data structures and their benefits and limitations under specific use cases.
  • Strong experience working hands-on with big Data systems to process and analyze structured, semi-structured and unstructured Data.
  • Experience with model management, monitoring and deprecation processes.
  • Strong knowledge in different programming and scripting languages.
  • Prior experience in building Machine learning models on AWS cloud platform (e.g. using tools like AWS sagemaker) is preferable.
  • Technical Skills:
  • Machine Learning: Logistic Regression, Lasso & Ridge Regularization, Decision Tree, Random Forest, Boosting, Neural Networks (e.g. ANN, RNN/LSTM, Autoencoders, W2V etc.), Natural Language Processing, Time series, Support Vector Machines, Nave Bayes.
  • Languages/Libraries: Python, R, H2O, SQL, Scala, Java or similar. programming/scripting languages
  • Big Data: Spark, Spark Streaming, Hadoop, Hive, HBase, Pig, Impala, MongoDB, Neo4j.
  • Visualization: Tableau or MS Power BI is preferable.

Core Traits:
  • Thinking and Administrative Skills - Solid analytical and problem-solving skills. Ability to analyze current situations with new requirements and synthe into creative solutions.
  • Achieve Successful Results- Takes the initiative to get things done, especially in team settings with dependencies on other people.
  • Demonstrates Adaptability- Works effectively in the faces of stress, ambiguity, difficult situations and shifting priorities.
  • Innovates- Challenges the status quo thinking to generate new ideas; takes open minded approach to situations.
  • Communicates and Influences - Refined written and verbal communication skills. Ability to foster open communications, listen effectively, and build strong partnership networks that result in consistent forward momentum.


HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status
Send me OTP quit