Role: Senior Data Scientist

Bangalore, India /
Credit - Data Science /
Full-time
About PayU 
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers. 

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 

 Role: Senior Data Scientist
Location preference: Mumbai / Bangalore
 
About PayU 
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers. 
 
As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 
 
About the Role:
 
Job Description
 
We are looking for a Senior Data Scientist in the PayU intelligence team who will be primarily responsible for modeling
complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining,
and visualization techniques. Your primary focus will be to propose innovative ways utilizing graph databases and analytics
to look at the problems by applying data mining techniques, doing statistical analysis, validating your findings using an
experimental and iterative approach, and building high-quality prediction systems integrated with our services. You will
need strong business understanding, analytical and problem-solving skills, and programming knowledge.
Responsibilities
Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time
decision systems.
Identify what data is available and relevant, including internal and external data sources, leveraging new data collection
processes such as geo-location or social media
Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training
models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them
Selecting features, building and optimizing classifiers using machine learning techniques
Extending company’s data with third party sources of information when needed
Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred.
5+ years of relevant quantitative and qualitative research and analytics experience.
Extensive knowledge of statistical techniques.
Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially
large datasets.
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and
optimization algorithms.
Proficient in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning (SVM, GLM, boosting, random
forest), graph models and reinforcement learning
Experience with open source tools for deep learning and machine learning technology such as Keras, tensorflow, pytorch,
scikit-learn, pandas, etc.
Strong programming skills (Hadoop MapReduce or other big data frameworks, Java, Python), statistical modeling (R,
Python, SAS), query languages such as SQL, Hive, Pig
Familiarity with basic principles of distributed computing and distributed databases.
Demonstrable ability to quickly understand new concepts - all the way down to the theorems - and to come out with
original solutions to mathematical issues.
Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage
stakeholder expectations, and produce clear deliverables
Should have experience in all aspects of data science life cycle - Manage, Develop, Deploy, Monitor, track models
Mentor junior members in the team
Good team player, self-motivated, able to ideate and work on various initiatives
Excellent communication and interpersonal skills to interact with internal and external stakeholders
Understanding of Cloud Platforms (AWS) and ability to use them for developing, training and testing models
We are looking for a Data scientist in the PayU intelligence team who will be primarily responsible for modeling
complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining,
and visualization techniques. Your primary focus will be to propose innovative ways utilizing graph databases and analytics
to look at the problems by applying data mining techniques, doing statistical analysis, validating your findings using an
experimental and iterative approach, and building high-quality prediction systems integrated with our services. You will
need strong business understanding, analytical and problem-solving skills, and programming knowledge.
Responsibilities
Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time
decision systems.
Identify what data is available and relevant, including internal and external data sources, leveraging new data collection
processes such as geo-location or social media
Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training
models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them
Selecting features, building and optimizing classifiers using machine learning techniques
Extending company’s data with third party sources of information when needed
Creating automated anomaly detection systems and constant tracking of its performance
 
About the team:
PayU Finance is the credit and lending arm of the PayU brand (a wholly-owned subsidiary of the Prosus group. Previously Naspers group) headquartered in Amsterdam, Netherlands. PayU Finance India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit. PayU Finance provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI, and express loans. 
PayU Finance operates under two brands - LazyPay and PaySense with a focus on Buy now Pay later and personal loan products.
Excited yet? Continue reading to find out more about the role:
What you’ll be doing:
Understand business requirements and identify best approach to serve the requirement without risking system’s conceptual sanity.
Practice TDD and help us retain/improve our code coverage.
Optimise flows within systems for better performance in response times and memory consumption.
Tear down unused flows and concepts to make way for the new and evolved ones.
 
What are we looking for? 
Someone who takes ownership and believes in seeing through tasks to its completion despite facing any challenge.
Someone who can work both independently and in collaboration with the team as and when the situation demands for it.
Someone who is not averse to learning and growth and has an open mind about inputs/suggestions from any stakeholder.
Bonus point if you have: 
Experience in the Fintech domain and/ or B2C product experience 
An engineering degree in Computer Science (or) software development experience 
Worked on products with a massive user scale - 1 Mn+ DAUs especially 
 
What we offer
A positive, get-things-done workplace
A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)
 
About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 
 
Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities. 
 

About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 

Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.