Company Name:-
PayU

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Role: Data Scientist – ML

Location: Gurgaon / Bengaluru

About the Role: As a part of the Global Data Science team, this person will be responsible for carrying out analytical initiatives.

About the team: The data sciences team is the PayU intelligence team who will be primarily responsible for modelling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques.

Excited yet? Continue reading to find out more about the role:

What you’ll be doing:
Design graph database based on payments data
Work on creating data pipelines to graph database from data lake
Dive into the data and identify patterns
Leverage alternate data to develop best-in-class ML models
Working on Big Data to develop analytical solutions
Enable machine learning algorithms on graph databases
Working on cutting-edge techniques e.

g.

machine learning and deep learning models
Guide and enable junior team members
Collaborate with various stakeholders (e.

g.

tech, product) to understand and design best solutions which can be implemented
What are we looking for?
2+ years of work experience as a Data scientist
Graduate or Post Graduate in Computers And Masters in Machine Learning / Data Sciences (is a must)
Hands-on exposure to Graph Databases like Neo4J, Janus etc.

(preferred)
Hands-on exposure to programming and scripting language like Python and PySpark
Knowledge of working on cloud platforms like Azure, AWS etc.

Knowledge of Graph Query languages like CQL, Gremlin etc.

(preferred
MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preferably: AI/DS)
Strong problem solving skills to understand and execute complex analysis
Familiarity with the best practices of Data Science
Add-on Skills :
Experience in working with big data
Solid coding practices
Passion for building new tools/algorithms
Experience in developing Machine Learning models
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 ed

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