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4 PayU Payments Jobs
Data Scientist (Telco)
PayU Payments
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for
- carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end ML models leveraging different type of data sources - Telco,
- Payments, Social Media etc
- Working on Big Data to develop analytical solutions
- Collaborate with various stakeholders (eg tech, product) to understand and design best
- solutions which can be implemented
- Working on cutting-edge techniques eg machine learning and deep learning models
Requirements to be successful in this role:
- Degree (BE / B.Tech / MS, PhD or equivalent) in Computer Science, Mathematics, Operational
- Research, Statistics or Natural Sciences
- At least 2 years of work experience on building ML models using telecom datasets
- Strong problem-solving skills with an emphasis on product development.
- Work with and create data architectures.
- A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
- Supervised Machine Learning Algorithms: Predictive Analytics, Logistic Regression, Bayesian
- Approach, Decision Trees, Support Vector Machines. Bagging and Boosting algorithms - Random Forest, XGboost, Catboost, Neural Networks etc
- Understanding of advanced algorithms (ie Deep Learning, Probabilistic Graph Models) will be good to have
- Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc - gained through work experience or graduate level education
- Experience with relational databases NoSQL databases such as MongoDB, Elastic Search, Redis or any graph database
- Skilled at data visualization and presentation
- Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure
- Strong problem solving and understand and execute complex analysis
- Experience in Python, Spark and SQL is a must
- Familiarity with the best practices of Data Science
Employment Type: Full Time, Permanent
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What people at PayU Payments are saying
Rating based on 6 Data Scientist
reviews
Anonymous · Data Science & Analytics
in Bangalore / Bengaluru
Likes
Team and people are good.
- Job security - Good
+1 more
Dislikes
A lot of focus on short term things.
Data Scientist salary at PayU Payments
reported by
25
employees
₹20
L/yr - ₹37
L/yr
63%
more
than the average Data Scientist Salary in India
View more details
What PayU Payments employees are saying about work life
based on 457 employees
Flexible timing
Monday to Friday
No travel
Day Shift
PayU Payments Benefits
View more benefits
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