Job Overview

Location
Bengaluru, Karnataka
Job Type
Full Time
Date Posted
1 year ago

Additional Details

Job ID
836
Job Views
468
Work from home ?
No
Educational Qualification
Graduation
Educational Major / Department
Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with research bent of mind and have a minimum of 5+ years of experience

Job Description

About Navi

Navi is one of the fastest growing financial services companies in India providing Personal & Home Loans, Insurance and Mutual Funds with a digital first approach. At Navi, our mission is to build financial services that are simple, accessible and affordable.

Founders: Sachin Bansal & Ankit Agarwal

Know what makes you a “Navi_ite” :

1.Perseverance, Passion and Commitment

  • Passionate about Navi’s mission and vision
  • Demonstrates dedication, perseverance and high ownership
  • Goes above and beyond by taking on additional responsibilities

2.Obsession with high quality results

  • Consistently creates value for the customers and stakeholders through high-quality outcomes
  • Ensuring excellence in all aspects of work
  • Efficiently manages time, prioritizes tasks, and achieves higher standards

3.Resilience and Adaptability

  • Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agilit

Responsibilities :

  • Lead and develop data science solutions to solve complex business solutions
  • Formulate business problems to data science problems
  • Work cross functionally with business and engineering teams to drive data science initiatives
  • Define right quality metrics for ML models and optimize them
  • Mentor and provide feedback to team members

Qualifications :

  • Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with research bent of mind and have a minimum of 5+ years of experience
  • Sound understanding of modern Machine learning techniques, mathematical underpinnings, and experienced in using different machine learning frameworks (sci-kit-learn, Keras, TF Spark, MLlib etc)
  • Experience in using distributed computing platforms
  • Strong programming skills (preferably in Python, Scala, etc)
  • Experience in driving large scale machine learning learning problems end to end

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