Data Science - Data Scientist
- Paytm
- 0 - 3 years
- Noida, Gurugram
- 2 months ago
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Job Description
Position Summary:
We are seeking a highly skilled and experiencedDataScientistwho will build and own machine learning models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business.
You will work on developing classical machine learning as well deep learning models for Risk (fraud, credit and operational risk) use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering anddatascienceteam to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with ourdataproduct offerings.
What does this include
- Design, build, evaluate and maintain ML/DL models to detect various types of risk mitigation problems while improving end user experience
- Collaborate with product and analytics partners for business to ML problem formulation and align on key deliverables
- End-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparingdatato testing and validating models, calibrating them, monitoring and feedback loop.
- Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Requirements:
- Have developed and deployed ML models at scale
- Real time feature engineering pipeline and model development is a plus
- Knowledge of classical ML models for classification and regression. Should have developed and deployed one such model from scratch. Know the trade off between choosing the techniques
- Working knowledge on Sequential Neural Network and Knowledge Graph representation learning using Graph Neural Network is a plus
- Excellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.).
- Excellent understanding of computersciencefundamentals,datastructures, and algorithms. Should have familiarity with object-oriented design methodology and application development in Python.
- Familiar with BigDatarelated technologies to manage large volumes of complexdata(SQL, pyspark). Knowledge of Scala is a plus
- Passion to learn and build quick POCs with state-of-the-art ML/DL algorithms.
- Challenging the norm, creative thinking, collaboration
- Working experience of fraud risk is plus
- BS in ComputerScienceor MS inDataSciencediscipline (or equivalent).
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: PaytmLocation(s): Noida, Gurugram+ View Contact
Keyskills: data science algorithms python scala ai operational risk machine learning user experience risk mitigation research sql analytics deep learning tensorflow trade use cases regression pytorch feature engineering data scientist keras
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