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Job Location: Mumbai
What You’ll do:
- 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.
- Extending company’s data with third party sources of information when needed
- Creating automated anomaly detection systems and constant tracking of its performance
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
What makes you a great fit:
- 2+ years of work experience as a Data scientist preferably in a fintech environment
- 1+ years of work experience in fraud modelling
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
- Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
- Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL
- Familiarity with basic principles of distributed computing and distributed databases.
- Experience in working with big data preferably in PySpark
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