Data Scientist

5 Years

Onsite

Bangalore, India

The Data Scientist plays a crucial role in analyzing complex data sets to extract valuable insights and inform strategic business decisions. This position involves applying statistical, machine learning, and data mining techniques to solve real-world problems and drive innovation.

Responsibilities

  • Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
  • Collating and cleaning data from various entities for later use by junior data scientists.
  • Create a team of Junior Data Scientists in order to realize the successful completion of projects.
  • Selecting and employing advanced statistical procedures to obtain actionable insights.
  • Cross-validating models to ensure their generalization.
  • Producing and disseminating non-technical reports that detail the successes and limitations of each project.
  • Suggesting ways in which insights obtained might be used to inform business strategies.
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

Must haves (Skills)

  • Advanced degree in data science, statistics, computer science, or similar.
  • Extensive experience as a data scientist.
  • Proficiency in R or Python.
  • In-depth understanding of SQL.
  • Competent in machine learning principles and techniques.
  • Demonstrable history of devising and overseeing data-centred projects.
  • Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
  • Outstanding supervision and mentor ship abilities.
  • Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
  • Compliance with prevailing ethical standards.

Good to have / Competitive Edge

  • Experience with TensorFlow
  • Familiar with Data Visualizations tools (Google,Studio,Sisense)
  • Experience with JIRA preferred
  • Deployment of Machine Learning Models
  • Previous Projects with Recursive, and Re-enforced learning.

Applying for

Data Scientist

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