Company Name : FamPay Inc

Data Scientist

bayt.com

Job Description

About FamPay
FamPay is building India’s first neo-bank exclusively teens. FamPay helps teens make their own online and offline payments through UPI, FamPay App and FamCard. Our aim is to make banking cool for teens and to help them learn the value of money, savings and spending wisely. We are on a mission to raise a new, financially aware generation, and drive 250 Million+ Indian teenagers to kickstart their financial journey super early in their life.

Founded in 2019 by IIT Roorkee alumni, FamPay is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Sequoia Capital India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angels.

About this Role
Ever wondered what it would be like to actually know what goes on in the lives of Gen-Zs?

We are not just the first payments app for Gen-Zs, but rather the first product directly built for the Indian Gen-Z consumers. Now couple that with the amount of un-utilised past & real time data we have of our millions of users over the last 3+ years.

If the sound of being the first-ever person to have complete access to the first-ever lifestyle app of an untapped generation, and having the opportunity to potentially build for their future gives you a kick, you are who we need.

On the Job

  • Identify value in the data we have
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Present information using data visualization techniques
  • Design, experiment and evaluate ML solutions
  • Recommend new product ideas to us
  • Strategise with Engineering, Product teams for building & implementing new products

Requirements

  • 3 to 6 yrs of proven experience as a Data Scientist
  • Atleast 2 yrs of Data Science/Data Analysis experience in a B2C fintech
  • Experience in data mining
  • Deep understanding of machine-learning and their mathematical underpinnings
  • Knowledge of R, SQL and Python; Strong programming skills in Python or Scala or Java
  • Excellent communication and presentation skills

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