About PhonePe Group:
PhonePe is India’s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
Culture
At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
Job Description
We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal
Key Responsibilities:
- Develop and implement machine learning models, offline batch models as well as real time online and edge compute models
- Analyze complex datasets and extract meaningful insights to drive business decisions
- Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches
- Communicate findings and recommendations to stakeholders effectively
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 3+ years of experience in a Data Scientist role
- Strong proficiency in Python and SQL
- Solid understanding of machine learning algorithms and statistical modeling techniques
- Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms
- Hands-on experience implementing and deploying machine learning algorithms
- Experience with data visualization tools and techniques
- Strong analytical and problem-solving skills
- Excellent communication skills, both written and verbal
Preferred Qualifications:
- Experience with PySpark and other big data processing frameworks
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
Technical Skills:
- Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred)
- Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision
- Big Data: Deep knowledge of PySpark
- Data Storage and Retrieval: Familiarity with databases/mlflow preferred
- Mathematics: Strong background in statistics, linear algebra, and probability theory
- Version Control: Git
Soft Skills:
- Excellent communication skills to facilitate interactions with stakeholders
- Ability to explain complex technical concepts to non-technical audiences
- Strong problem-solving and analytical thinking
- Self-motivated and able to work independently as well as in a team environment
- Curiosity and eagerness to learn new technologies and methodologies
We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply!
PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog.
