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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