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About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway, T Rowe Price and Discovery Capital.

About the team: The core responsibility of the agent product team is to ensure that our field management team is equipped with relevant tools and information to service our merchant partners efficiently and quickly. Our two key stakeholders are our merchants and our agents and we strive towards building a seamless and efficient system to onboard and serve them.

Our primary focus is on building a best in class product for end lifecycle management of an agent starting from his onboarding, tasks management, payouts and career progression. From the merchant partners’ perspective our goal is to deliver quick and efficient service for product deployment and maintenance.

About the role: We’re looking for top data scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Expectations/ Requirements     

1.Build and strengthen relationships with functional leaders in sales, product, growth, risk and collections by identifying areas where analytics could help solve existing problems or strengthen business operations·      

2.Apply problem solving frameworks to break the complex business problems faced by the BUs and organization in smaller more manageable problems and translate the business problem in to data and analytics problem·      

3.Identify various business opportunities and apply analytics to optimize conversions and risk·   

4.Generate actionable recommendations based on huge platform data and communicate the insights generated by the teams·      

5. Share reports and dashboards with business stakeholders to empower them to make data driven decisions·     

6. Manage transformation projects that help to improve top line or bottom line through an analytical solution·      

7. Be the champion of data and insight led decision making in the organization and drive change management efforts to bring stakeholders on board·      

8.Manage large teams of business analysts and modeler to deliver analytical solutions and data driven insights to the business stakeholders.

Superpowers/ Skills that will help you succeed in this role ·  

1.       4-5 years of experience into data science field in commonly used Traditional classical techniques and New-age ML techniques·     

·         Python Proficiency - Pandas Library, Data wrangling, Plotting, Analysis

·         Statistical and ML - Regression and Decision Trees Techniques

·         End to End Model Training and Measuring Model Performance on Real Business Problems

·         SQL Proficiency - Efficient Database querying, Querying multiple databases

2. Understanding of the intuition/logic/math/stats behind these methods·      

3. Experience with PySpark, experience with distributed system like Hive/ Parallel Processing in Python is plus

Why join us · 

1.We give immense opportunities to make a difference, and have a great time doing that.

2.You are challenged and encouraged here to do meaning work for yourself and customers/clients·      

3.We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. 

Compensation: If you are the right fit, we believe in creating wealth for you

With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Data Science Lead

About Us:

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.

About the Role: 

This position requires to work with massive data from multiple applications & Machine Learning projects.

Requirements: 

Machine learning experience of 7 to 10 years of implementing and successfully deploying ML solutions at scale for real-world problems.

Own the application of machine learning algorithms.

Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment.

Develop a feedback system to improve the selection of features for the algorithms.

Understand the theory and application of theory for common classification, clustering, regression and collaborative filtering.

Curiosity to learn and implement latest developments in the field of data science

Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant!

Skills that will help you succeed in this role: 

Experience with deep learning applied to areas such as NLP and computer vision.

You have experience in distributed data processing frameworks like Hadoop, Spark or other similar frameworks.

You respect advanced data structures and can use them to solve your problems.

Python, Java, Scala or any other high level languages are a bonus.

You understand what it takes to deliver ML predictions in real time online applications.

Working knowledge of AWS or any other cloud platform. 

Why join us:

Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. You should work with us if you think seriously about what technology can do for people. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.

Compensation: 

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Greenlight is a fintech company that makes a debit card for kids and companion apps for the family. We proudly serve more than 6 million parents and kids, with in-app tools for sending money, setting savings goals, monitoring balances, managing chores, automating allowance, and investing.

But that’s not all that we do. Here at Greenlight, we are on a mission to support parents and help every kid grow up to be financially healthy and happy. It’s no small task, but it’s the reason we leap out of bed every morning to come to work. Because creating a better, brighter future for kids depends on it.

As an Analytics Engineer, you will play a crucial role in developing and implementing data models and analytics solutions using DBT and Snowflake. Your primary focus will be on leveraging these technologies to design and build scalable data pipelines, perform complex data transformations, and develop analytical models that contribute to our risk management and re-platforming strategies. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the successful delivery of robust and reliable solutions.  You will be responsible for change management of re-platforming efforts of the existing data models to the new platform.

Responsibilities:

• Utilize DBT and Snowflake to design, develop, and maintain scalable and efficient data pipelines for analytics purposes.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
• Perform complex data transformations, including data cleaning, aggregation, and enrichment, to ensure the availability of high-quality data for analysis.
• Develop and maintain analytical models and algorithms to support data assessments, portfolio analysis, and predictive modeling.
• Optimize and fine-tune data pipelines and models to improve performance, accuracy, and reliability.
• Conduct data profiling, analysis, and validation to identify data quality issues and implement appropriate solutions.
• Monitor and troubleshoot data pipelines and analytics workflows to ensure smooth and efficient operations.

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
• Prior experience working as a Data Engineer, Analytics Engineer, or similar role preferably in the fintech or financial services industry.
• Proficiency in implementing data solutions using DBT (Data Build Tool) and Snowflake is essential.
• Strong knowledge of SQL and expertise in data modeling, data warehousing, and ETL processes.
• Experience with Python or other programming languages for data manipulation and scripting.
• Familiarity with risk management concepts and analytics methodologies in the fintech domain.
• Demonstrated ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and attention to detail, with a focus on delivering high-quality, reliable solutions.
• Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
• Familiarity with other data engineering tools, such as Apache Airflow, is a plus.

Now, it takes a special kind of person to join a never-been-done-before mission like ours. We need people who love working with each other because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help parents raise a generation of financially smart kids, apply to join our team today.

Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.