Senior Data Scientist

2 weeks ago

Bengaluru, Karnataka, India MathCo Full time ₹ 12,00,000 - ₹ 24,00,000 per year

As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data. You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization.

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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