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Morningstar Recruitment Drive; Hiring Data Scientist – Apply Now


Morningstar invites job applications for the post of Data Scientist. Candidates with 1-3 years of experience in data science field & An advanced degree in engineering, computer science, statistics or related field is preferred and Expertise with either Python or Java is essential, while experience with both is desirable; other programming language skills are highly desirable. Experience with Python packages like pandas, scikit-learn, TensorFlow, numpy, NLTK is a plus. The place of posting will be at Mumbai. Candidates kindly read all the informations given below, before proceed to apply

Name of the Organization: Morningstar

Requisition ID: REQ-048617

Positions: Data Scientist

Location: Navi Mumbai

Salary: As per company Norms

Required Skills & Qualifications:

  • 1-3 years of experience in data science field
  • An advanced degree in engineering, computer science, statistics or related field is preferred
  • Expertise with either Python or Java is essential, while experience with both is desirable; other programming language skills are highly desirable. Experience with Python packages like pandas, scikit-learn, TensorFlow, numpy, NLTK is a plus.
  • Basic knowledge of statistical/ML/AI algorithms
  • Experience with DevOps tools (e.g. Splunk, Git, uDeploy, Jenkins, Control-M) is desirable
  • Experience with Agile software engineering practices
  • Experience with back-end XML, relational, and file-based databases (e.g. SQL, Postgres, Redshift, Netezza, HDFS)
  • Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Lambda, EC2, RDS, EMR)
  • Experience with the Hadoop stack (MapReduce, Pig, Hive, Nifi, Spark) is desirable
  • Experience with at least one statistical modeling language (e.g. R, MATLAB, Python)

Intermediate knowledge of statistical methods is desirable

  • Familiarity with common data cleaning and munging techniques
  • Familiarity with automation tools such as Puppet or Chef is a plus.
  • Familiarity with data visualization is a plus (e.g. Tableau, Shiny, d3)
  • Familiarity with statistical software, linear algebra, optimization, and information visualization is a plus.
  • Familiarity with mutual fund, fixed income, and equity data is a plus
  • Fluent in both oral and written English.

Responsibilities:

  • Design & develop enterprise solutions to be flexible, scalable & extensible.
  • Improve complex data flow, data structures and database design to move to next platform.
  • Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling. Enforce good agile practices like test driven development, Continuous Integration.
  • Build solutions that incorporate numerical techniques such as linear algebra, machine leaning, statistics, and optimization.
  • Hands-on development will be an integral part of the responsibilities.
  • Develop areas of continuous and automated deployment.
  • Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster.
  • Follow best practices like estimation, planning, reporting and improvement brought to processes in every day work.

 

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