Data Scientist

What is Jar?

The Jar app is a habit-building micro-savings platform that helps users save fixed amounts from as little as ₹10 in 24K digital gold. Our users also have the option to convert these savings to cash or physical gold at their convenience.

Jar also effortlessly facilitates investments by enabling users to save while they spend, utilizing our round-off method, like a digital piggy bank.

Founded by Misbah Ashraf, former founder of community-focused e-commerce platform Marsplay, and Nishchay AG, former director and founding member at mobility start-up Bounce, Jar's unwavering mission is to shatter psychological barriers to saving and investing, thus spearheading the Financial Fitness revolution for Bharat.

At Jar, we believe that savings are just the beginning for our customers. We want to walk alongside them through every step of their financial journey, which is why we have now expanded our offerings to meet those needs.

Our Offerings:

Jar Ready Cash

Jar Ready Cash is Jar's loan product with a 100% digital journey, no paperwork, and quick disbursals so that customers can access credit conveniently. With flexible repayments and help just a click away, customers don't have to break their savings when an emergency comes calling.

Nek

Nek is an affordable luxury jewelry brand that is powered by Jar. It is the culmination of what we know best; affordability, the value of gold, and crafting incredible connections. Nek's wide collection of silver and gold jewelry is made with meticulous artisanship to celebrate you and find the magic in every occasion.

Responsibilities

• Own end-to-end business problems and metrics, build and implement ML solutions using cutting edge technology.
• Create scalable solutions to business problems using statistical techniques, Machine Learning and NLP.
• Design, experiment and evaluate highly innovative models for predictive learning.
• Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations.
• Establish scalable, efficient and automated processes for large scale data analysis, model development, deployment, experimentation, and evaluation.
• Research and implement novel machine learning and statistical approaches.
• Publish and talk about your work at external conferences.

Requirements

• 2+ years relevant experience into Data science.
• Advanced degree in Statistics/Maths/Computer Science.
• In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
• Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.
• Strong programming skills (Python, Java, or Scala preferred).

High proficiency in at least one of the following broad areas:

• Machine learning.
• Statistical modeling/inference.
• Information retrieval.
• Data mining.
• NLP

From the Founders' Desk:

As founders, we take a great deal of pride in how far Jar has come as a company, not just in terms of the product and service we have built, but because of the many incredible people who have trusted us and joined us on our journey. At Jar, we're working on solutions that could positively impact over 400 million Indians who find themselves stalled on their financial journey. 

It's not something we can solve alone; it takes the collective effort and innovation of a great number of people to do that. It's only natural, then, that we look for problem solvers and collaborators, people who fail fast, learn just as quickly from those failures and boldly offer unconventional insight and perspective when faced with challenges. 

We know that the next great idea can come from anyone and we strive to foster the kind of environment where those ideas get carried to execution without losing their greatness. No matter what their stint at Jar was like, we want our team to look back on it and feel like they learned, grew and succeeded, just as Jar did. If that sounds a little scary, a little difficult, but also interesting and exciting, then you'll probably fit right in. 

Why join Jar, you ask? 

Jar is a diverse and inclusive workplace that embraces the ideas and perspectives of all employees, and recognises their efforts and contributions regardless of gender or ethnicity. Our workspace also boasts a great blend of youth and experience, which helps us maintain a transparent culture with no micromanagement. We also have flexible working hours, and provide medical insurance to all employees