Leadership Role - Data Science

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.

We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital).

The Role

We are looking for an enthusiastic Manager - Machine Learning to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques.

As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. You will collaborate with cross-functional teams to develop innovative data science solutions, solve complex challenges, and mentor junior team members.

Roles And Responsibilities

• Lead and drive data science initiatives, providing strategic guidance and technical expertise to the team.
• Apply advanced data science methodologies, mathematics, and machine learning techniques to solve complex and strategic business problems.
• Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy cutting-edge data science solutions.
• Conduct in-depth analysis of large and complex datasets, extracting valuable insights and driving actionable recommendations.
• Present findings, insights, and strategic recommendations to senior stakeholders, influencing key business decisions.
• Identify key metrics and develop executive-level dashboards to monitor performance and provide actionable insights.
• Oversee multiple projects simultaneously, ensuring high-quality deliverables within defined timelines.
• Mentor and guide junior data scientists, fostering their professional growth and promoting a culture of innovation and excellence.
• Continuously explore and implement advanced data science methodologies and emerging technologies to enhance solutions.
• Collaborate with research teams and stay updated with the latest advancements in the field of data science.
  
  
  

Mandatory Qualifications

• 10-12 years of experience in a data science role, with a proven track record of delivering impactful solutions and building and managing high performance teams.
• Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.
• Extensive expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.
• Mastery of programming languages such as Python, R, and Scala, with experience in building scalable and efficient data science workflows.
• ML-Engineering/ML-Ops knowledge, awareness and proficiency of Kubernetes, nosql, redis etc.
• Vast experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and drive successful outcomes, excellent communication and presentation skills.
• Drive collaboration between data science, product management, and engineering teams to ensure alignment on project goals and seamless integration of machine learning solutions into products.
• Facilitate regular cross-functional meetings and workshops to identify key business challenges, drive data democratization, and brainstorm innovative and cost effective solutions.
• Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.
• A passion for continuous learning and staying up-to-date with the latest advancements in data science.
• Demonstrated ability to think strategically, solve complex problems, and deliver innovative solutions.
  
  
  

Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

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