Senior Graph Data Scientist

at PayU

Posted by Vishakha Sonde
Remote, Mumbai, Bengaluru (Bangalore)
5 - 12 yrs
₹15L - ₹35L / yr
Full time
Data Science
Deep Learning
Natural Language Processing (NLP)
Sentiment Analysis
Machine vision
R Programming


  • 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 the 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. 
  • Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases
  • Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and
  • Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
  • Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
  • Experience with building and deploying predictive and prescriptive analytics models
  • Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. 
  • Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. 
  • Strong communication and interpersonal skills


About PayU

PayU is a fintech that provides financial solutions for local and cross border merchants in emerging markets, POS credit and alternative payment methods
500-1000 employees
View full company details
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