Technical Lead - Data Science at Paytm

Short Description:

We are hiring a Technical Lead - Data Science for the Technology team at Paytm Ads. This on-roll position based in Noida offers a remote work arrangement. The role involves leveraging machine learning techniques to analyze vast volumes of transactional, demographic, and user behavior data. Responsibilities include building high-quality ML systems integrated into real-time software, tackling challenges like predicting discounting levels, and creating a data platform for customer lifecycle offers. The ideal candidate should have 6-8 years of ML experience, expertise in Python, and proficiency in data visualization tools.

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Position: Technical Lead - Data Science 

Location: Noida, Uttar Pradesh 

Team: Technology – Paytm Ads 

Employment Type: On-roll 

Work Arrangement: Remote

About Us:

Paytm is India’s premier digital payments and financial services company, dedicated to driving consumers and merchants to its platform by offering a diverse range of payment use cases. Paytm provides consumers with services such as utility payments and money transfers, offering payment options through Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag, and Paytm Postpaid - Buy Now, Pay Later. For merchants, Paytm offers acquiring devices such as Soundbox, EDC, QR, and Payment Gateway, facilitating payment aggregation through PPI and other banks’ financial instruments. Expanding further into merchants’ businesses, Paytm provides commerce services through advertising and the Paytm Mini app store. Leveraging this platform, the company also offers credit services, including merchant loans, personal loans, and BNPL, sourced through its financial partners.

Job Description:

We are seeking a Technical Lead level Data Scientist to uncover insights hidden in our vast volumes of transactional, demographic, and user behavior data. This role involves making informed decisions to enhance our products and provide better solutions to our customers. Your primary responsibilities will include applying data mining techniques, conducting statistical analysis, and building high-quality machine learning systems integrated into our real-time software systems and microservices. Some of the challenges we are tackling include predicting discounting and offer levels that balance customer gratification and profitability, as well as creating a data platform for meaningful customer lifecycle offers.

Requirements:

• 6-8 years of experience in machine learning, implementing and deploying ML solutions at scale for real-world problems.
• Preferably experienced in working on regression and classification algorithms.
• Domain experience in areas such as Food e-commerce, Fashion retail, or any customer-centric business use case is preferred.
• Selecting features, building, and optimizing ML models using various techniques.
• Data mining at a petabyte scale and collaboration with the data engineering team.
• Extending company data with third-party sources when necessary.
• Enhancing data collection to include information relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data for ML analysis.
• Creating and fine-tuning ML models for various initiatives.
• Owning the application of machine learning algorithms.
• Designing and evaluating novel approaches for handling high-volume real-time data streams in a machine learning environment.
• Developing a feedback system to improve feature selection for algorithms.
• Understanding the theory and application of common classification, clustering, regression, and collaborative filtering.
• Identifying valuable data sources and automating collection processes.
• Undertaking preprocessing of structured and unstructured data.
• Presenting information using data visualization techniques.
• Proposing solutions and strategies to business challenges.
• Collaborating with engineering and product development teams.
• Curiosity to learn and implement the latest developments in the field of data science.

Skills & Tools:

• Expertise in Python, specifically using Python libraries and add-ons for data, math, and machine learning.
• Ability to script and write small programs.
• Experience with data visualization using web frontend libraries.
• Data ETL from SQL and NoSQL sources.
• Experience in distributed data processing frameworks like Hadoop, Spark, or similar frameworks (Java, Scala, or other high-level languages are a bonus).
• Understanding of delivering ML predictions in real-time online applications; usage or know-how of Fast API.
• Working knowledge of AWS or any other cloud platform is a plus.

Why Join Us:

• Opportunity to make a meaningful difference and have an enjoyable work experience.
• Encouragement to tackle challenging tasks that hold significance for you and those we serve.
• Engage in work that seriously considers the transformative power of technology for people.
• Be part of a successful company driven by the collective energy and unwavering focus on the customer of its people.
• Explore more about our exciting work in Tech by reading our Engineering blogs.

Compensation:

If you are the right fit, we believe in creating wealth for you. With over 500 million registered users, 25 million merchants, and a wealth of data in our ecosystem, we are uniquely positioned to democratize credit for deserving consumers and merchants. Join us and be a part of India’s largest digital lending story!

Please click here to apply.