As a Data Scientist, you'll analyze complex datasets, build models, and provide actionable insights to drive business growth and enhance user experience.
About Fam (previously FamPay)
Fam is India's first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ youngest users in India to kickstart their financial journey super early in their life.
Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.
About this Role:
We are looking for a Senior Data Scientist to join our growing data team at Fam. In this role, you will leverage data to drive key business decisions and build predictive models that optimize user experience, platform performance, and operational efficiency. You will work on large-scale data sets, employ advanced statistical and machine learning techniques and collaborate closely with cross-functional teams to unlock insights and innovations that impact millions of users and transactions. If you're passionate about data and making a tangible impact in the fintech space, this role is for you.
On the Job
- Build and deploy machine learning models to solve complex business problems related to user behaviour, transactions, fraud detection, and more.
- Analyze large and complex datasets to uncover actionable insights and trends that inform business decisions.
- Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.
- Develop and implement statistical models, data pipelines, and algorithms to enhance product performance and user experience.
- Ensure the quality, accuracy, and scalability of models and analyses by applying best practices in data science and software engineering.
- Communicate findings effectively to both technical and non-technical stakeholders through clear visualizations and reports.
- Mentor junior data scientists and promote a data-driven culture within the team.
Must-haves (Min. qualifications)
- 4-6 years of experience in data science, with a strong background in machine learning, statistics, and data analysis.
- Expertise in programming languages such as Python or R, and experience with libraries like Pandas, Scikit-learn, TensorFlow, PyTorch etc.
- Solid understanding of data wrangling, data visualization, and exploratory data analysis.
- Experience with statistical modeling, time series forecasting, and anomaly detection.
- Strong knowledge of databases (SQL, NoSQL) and distributed data processing tools (Spark, Hadoop).
- Proven track record of applying machine learning techniques to real-world business problems in a fast-paced environment.
- Excellent communication skills and the ability to translate complex data insights into clear, actionable recommendations for business teams.
Good to have
- Experience in fintech, payments, or financial services industry.
- Exposure to deep learning, NLP, or reinforcement learning techniques.
- Experience with cloud platforms (AWS, GCP, Azure) and data tools like BigQuery, Redshift, clickhouse etc.
- Familiarity with data engineering concepts (ETL pipelines, data lakes, etc.).
- Contributions to open-source projects or active involvement in the data science community.
Why join us?
- Work on high-impact projects that shape the future of fintech and affect millions of users.
- Opportunity to apply cutting-edge machine learning and data science techniques at scale.
- Be part of a dynamic, fast-growing company with a culture of continuous learning and innovation.
- Work with a talented, data-driven team that’s passionate about solving complex problems.
- If you're excited about leveraging data to drive innovation and have a passion for building data science solutions at scale, we'd love to hear from you!
Why should you join us?
Every once in a while, a product comes to life that makes people think, why was this not done earlier? The users love it, the investors dream about the great returns and the team feels the joy and pride every day. We have strong indicators for users & investors, and we are building a team that will have stories to tell all their life.
We believe that a great product is built by a high-quality team that finds purpose and joy in their work, and we also go beyond it to put heavy emphasis on having fun at work as well.
Perks:
1. Industry's best ESOPs scheme
2. Medical Insurances suiting your needs
3. Access to Mental Health professionals
4. Top gadgets to achieve skill level - Bruce Wayne
5. Flexible work schedule so you never miss brunch, lunch, or dinner plans
6. Friendly leaves policy that’ll make your friends jealous
7. Relocation Support
8. Meals in office
Here’s all the tea on FamApp ☕️
FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.
Revolutionizing Payments and FinTech
FamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.
Trusted by leading investors
We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.
Join Our Dynamic Team
At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.
Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛
Top Skills
Data Mining
Machine Learning
Python
R
Statistical Modeling
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