Data Scientist

About Us

At Bureau, we take care of risks so that our clients take care of their business. Bureau is a no-code Identity Decisioning Platform that enables seamless customer onboarding and fraud-free customer interactions. Our no-code identity orchestration platform protects and accelerates onboarding, verification, and transactions — without introducing friction for the end users. Our innovative technologies and data-driven approach enable our clients to mitigate risks, enhance security, and build trust with their customers. We prefer trustworthiness over creditworthiness! The company is an ISO 27001: 2013 and SOC2 Type 2 certified organization.

We pride ourselves on our collaborative culture and commitment to excellence.

What to expect from the role?

Whether it’s Collusion, Fraud Rings, Promo Abuse, Chargeback, Account Takeover, or Sim Swap frauds - Bureau’s squad of Fraud Fighters is there to help Product and Growth teams across the globe.

If you read the above paragraphs and found it intriguing, please consider joining us on this journey where we help businesses and their customers feel safe and secure while transacting across the Internet. This is day zero and we have so much more to build and sell.

How will your day look at Bureau?

• Develop Statistical, Machine Learning and Deep Learning solutions to tackle fraud and risk

• Manage the end-to-end model lifecycle including real-time model serving

• Build and use data pipelines to extract and communicate meaningful insights from large datasets

• Conduct data-backed experiments and analyses to and fine-tune model performance across a variety fraud MOs and enterprise use cases

• Contribute to developing production-grade software applications backed by statistics and ML

What does it take to be in this role?

• BS, MS or Ph.D in Machine Learning, Computer Science, Mathematics, Statistics or other quantitative disciplines. Experience in Machine Learning Engineering or Data Science roles.

• Proficiency in Python and scaling out to the cloud (AWS/Databricks/Azure)

• Strong familiarity with SQL, data modelling (preferably DBT), distributed analytic processing technologies (Athena, Big Query) and visualization platforms (Superset, Looker, Tableau)

• Proven expertise in writing production code and deploying DS/ML applications, preferably in fintech fraud, risk, payments or compliance

• Prior experience in building ML observability to uphold the performance and reliability of ML models in production

• Skilled in Exploratory Data Analysis to investigate ad-hoc questions and explain anomalous data

• Some familiarity writing backend code and experience with Golang and efficient containerization using Kubernetes, Docker etc., is a plus

• Advanced expertise in software engineering principles

• Creativity in building data science solutions in the absence of feedback or labelled data

• Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact.

Location: Bengaluru, Karnataka, India

Work experience: 7+ years

Work Style : 5 days in office in Koramangala, Bengaluru