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Senior Data Scientist
Senior Data ScientistMathCo • Delhi, India
Senior Data Scientist

Senior Data Scientist

MathCo • Delhi, India
22 days ago
Job description

As Sr Data Scientist, you will be responsible for a wide range of engagements listed below :

  • Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it.
  • Applies business acumen in analyses to extract meaningful and actionable information.
  • Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience.
  • Leverages various analytical techniques, appropriate to solving the business problem at hand.
  • Performs research for solutions and solves problems efficiently to overcome data analytics challenges.
  • Engages in the collection, integration, analysis, and presentation of data for various business contexts
  • Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them.
  • Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like.
  • Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team.
  • Does peer reviews of codes and approaches of fellow members of the data science team.
  • Provides mentorship to junior data scientists in the team.
  • Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. Required Skills (Must have) Tech
  • Advanced programming knowledge in Python and SQL.
  • Advanced knowledge in Probability and Statistics, including hypothesis testing.
  • Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
  • Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.
  • Experienced in modern development tools and writing code collaboratively.
  • Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.
  • Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms.

Non Tech :

  • Ability to recognize and pursue pragmatic alternatives vis-à-vis a perfect solution, balancing priorities of time with potential business impact.
  • Plan projects, break them down across individual data scientists in the team, track their performance and manage risks.
  • Ability to storyboard an entire presentation to a non-technical audience.
  • Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.
  • Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.
  • Technical leadership and mentorship to the community of data scientists in the organization.
  • Required Skills (Good to have) Tech

  • Advanced knowledge in one or more areas besides Machine Learning – Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale, Reinforcement Learning, Graph Machine Learning, Explainable Machine learning.
  • Advanced understanding of Cloud technologies and experience of deploying applications on cloud.
  • Non Tech

  • Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach.
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