Senior Data Scientist Job in Data Science Wizards

Senior Data Scientist

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Job Summary

Description

As a Sr. Data Scientist, you will help transform our data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers using best in class open source and visual tools, along with the most flexible and scalable deployment options.

Responsibilities:

  • Analyze raw data, assessing quality, cleansing, structuring for downstream processing and design accurate and scalable time series models
  • Collaborate with engineering team to bring analytical prototypes to production and generate actionable insights for business improvements
  • Accountable for successful delivery of complex data science engagements adhering to client's requirements and timelines
  • Handle multiple projects as an individual contributor and as a lead / mentor to other team members managed directly or indirectly on a project / assignment
  • Learn constantly and lead adoption of emerging technologies and approaches in their processes benefiting the company

Required Technical and Professional Expertise:

  • BTech (with 4-6 years of relevant experience) or Masters (with 3 years of relevant experience) in Operations Research, Applied Mathematics/ Statistics/ Econometrics, Electrical or Systems Engineering, Physics or similar highly quantitative field
  • Strong ability to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion
  • Sound understanding of data science concepts, model development & performance tuning processes as well as coding, version control and CI/CD best practices
  • Highly proficient in Python programming.
  • Working knowledge of time series analysis and modeling with GLUONTS and other time series frameworks and libraries.
  • Good experience with machine learning and deep learning algorithms and libraries like scikit learn, tensorflow, keras, etc.
  • Must have worked in developing and deploying models using AWS cloud platform
  • Demonstrated ability of scoping, executing and scaling multiple data science deliverables on their own
  • Excellent interpersonal and stakeholder management skills including ability to interact and present to senior stakeholders


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Experience Required :

4 to 6 Years

Vacancy :

2 - 4 Hires

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