Data Scientist (3-5 years)

PhonePe is seeking a highly analytical and driven Data Scientist to join our team. This role requires a minimum of one year of professional experience and a robust foundation in scalable machine learning implementations.

The successful candidate will play a pivotal role in designing and deploying sophisticated models that drive strategic business initiatives.

Core Responsibilities

• Model Development & Deployment: Design, develop, and deploy scalable machine learning models across diverse environments, encompassing offline batch processing, real-time online systems, and edge computing architectures.

• Advanced Analytics: Conduct rigorous analysis of complex, high-volume datasets to extract actionable insights and inform strategic business decisions.

• Cross-Functional Collaboration: Partner with engineering, product, and business stakeholders to define core challenges and formulate robust, data-driven solutions.

• Technical Communication: Synthesize and present complex quantitative findings, methodologies, and strategic recommendations to both technical and non-technical executive stakeholders.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related quantitative discipline.

• Experience: A minimum of 3 to 5 years of professional experience in a Data Scientist capacity, with a track record of deploying machine learning algorithms into production environments.

• Core Languages: Advanced proficiency in Python and SQL.

• Analytical Foundations: Deep conceptual and practical understanding of traditional machine learning algorithms, statistical modeling, linear algebra, and probability theory.

• Problem Solving: Exceptional analytical reasoning, with the ability to operate independently and navigate ambiguous data challenges.

• Communication: Outstanding written and verbal communication skills, tailored to diverse professional audiences.

Preferred Qualifications & Technical Competencies

Candidates possessing the following supplementary skills will be given strong consideration:

• Big Data & Distributed Computing: Deep knowledge and practical experience with PySpark and other big data processing frameworks.

• Deep Learning: Proficiency leveraging neural network frameworks such as TensorFlow or PyTorch.

• Computer Vision: Working knowledge of Computer Vision concepts and algorithms.

• MLOps & Infrastructure: Familiarity with model lifecycle management tools (e.g., MLflow) and modern database architectures.

• Programming & Tools: Foundational knowledge of Java and experience with version control systems (Git).

PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)

Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy

Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, please fill out this form.

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