Crisil - Opening For Manager Data Science

☞ CRISIL LIMITED

전망: 106

갱신일: 06-05-2024

위치: Pune Maharashtra

범주: IT-소프트웨어

산업: Analytics KPO Research

수평: Database Architect/Designer

직업 종류: Full Time, Permanent

경험: 5 - 9 years

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작업 내용

Company Introduction


CRISIL LIMITED

CRISIL is a global analytical company providing ratings, research, and risk and policy advisory services. CRISIL’s majority shareholder is Standard & Poor’s, a division of McGraw Hill Financial and provider of financial market intelligence


The Opportunity

CRISIL is seeking an experienced Sr. Data Scientist who can build analytical solutions and drive data driven decision making across functions. As a Sr. Data Scientist at CRISIL, you will be developing and mentoring data science enthusiasts to build machine learning algorithms to automate tasks involving unstructured data and having complex rules. As a Sr. Data Scientist you will be working closely with senior stakeholders to align data science opportunities to impact key business goals.

You Are Great At

  • Strong math skills (e.g. statistics, linear algebra, vectors & matrices).
  • Design algorithms and models to mine big data stores, perform data and error analysis to improve models.
  • Able to mentor emerging data science enthusiasts among the team.
  • Has experience in designing machine learning pipelines to integrate with enterprise applications.
  • Designing Deep learning Architectures to extract domain specific entities from textual & tabular data.
  • Implementing Machine Learning model as a Microservice.
  • Communicate analytic solutions to stakeholders and drive data driven decision making.
  • Working closely with stakeholders and identify data science opportunities to impact key metrics of the business.
  • Working knowledge of training models using AWS SageMaker platform.

What It Takes

  • University degree in B.E, B.Tech, MCA or MSc(CS / Mathematics), preferably in Computer Science/ Any Engineering / Mathematics) with 5 to 7 years of Data Science / Machine Learning experience.
  • Should be hands on in programming using Python or R or Julia.
  • Able to write data pipelines to consume, transform data and write back into RDBMS, NO SQL databases (Mongo db, Spark, Neo4j)
  • Have worked with graphing libraries viz. Matplotlib, d3.js, bokeh, plotly or Tableau.
  • Should have working knowledge of machine & deep learning frameworks viz. scikit-learn, Tensorflow , Pytorch &/or Caret (R).
  • Have experience of working with Git, JIRA & driving ML projects using Agile framework.
  • Nice to have experience of training models in cloud based platforms.
  • Expressive and outspoken with excellent communication skills and email etiquette.

Will prefer you if you

  • If you have GitHub repository to showcase implementation of your machine learning algorithms on public datasets.
  • Is regular at participating in Kaggle Data Competitions, if yes then share your profile.
  • Written blogs or delivered talks at machine learning forums.


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마감 시간: 20-06-2024

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