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You will be updated with latest job alerts via emailAbout PhonePe Group:
PhonePe is Indias 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 techenabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is Indias first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the companys 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 crossfunctional teams to identify and solve business problems using datadriven approaches
Communicate findings and recommendations to stakeholders effectively
Required Qualifications:
Bachelors or Masters 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
Handson experience implementing and deploying machine learning algorithms
Experience with data visualization tools and techniques
Strong analytical and problemsolving 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 nontechnical audiences
Strong problemsolving and analytical thinking
Selfmotivated and able to work independently as well as in a team environment
Curiosity and eagerness to learn new technologies and methodologies
Were looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fastpaced environment and are excited about leveraging cuttingedge technologies in machine learning to solve realworld 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.
Full Time