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Job Description

Turn data into insights and develop predictive models that drive business value for our clients across financial services.

Responsibilities

Analyze large datasets to identify patterns, trends and opportunities
Develop machine learning models for prediction, classification, and anomaly detection
Create data visualizations and reports to communicate insights to stakeholders
Collaborate with engineering teams to implement models in production
Stay current with latest research and methodologies in data science

Requirements

M.S. or Ph.D. in Statistics, Mathematics, Computer Science or related field
3+ years industry experience in data science
Strong background in statistical analysis and modeling
Proficiency in Python and SQL
Experience with time series analysis and forecasting

Nice to have

Knowledge of big data technologies (Spark, Hadoop)
Experience with cloud-based data science platforms
Background in deep learning techniques
Experience with explainable AI methodologies

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