Lead Data Scientist

Lead Data Scientist

At Current, we're on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we're a leading U.S. fintech and one of the fastest growing companies with over 4 million members. No matter your title, we're a team that collaborates on building great products and making an impact together.

We are in search of an experienced Lead Data Scientist. In this role, you will lead the design, development, and deployment of machine learning models and algorithms, leveraging VertexAI to solve complex business challenges in the fintech domain. The ideal candidate will possess a strong background in statistical analysis, machine learning techniques, programming (), and preferably a deep understanding of VertexAI's capabilities along with experience in deploying and scaling models using Google Dataflow.

Responsibilities :

• Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
• Design, develop, and deploy predictive, clustering, recommendation system and anomaly detection models and algorithms ( Preferably using VertexAI) for various applications, including customer segmentation, fraud detection, credit risk assessment, and personalized recommendations.
• Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy.
• Implement and maintain scalable machine learning pipelines and workflows on Google Cloud Platform, ensuring reliability, scalability, and efficiency.
• Leverage Google Dataflow for processing large-scale data and building scalable data processing pipelines.
• Evaluate model performance using appropriate metrics and techniques, conducting A / B testing and iterating on models to continuously improve accuracy and business impact.
• Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues.
• Contribute to the development of best practices, standards, and documentation for machine learning processes and methodologies

Requirements :

Preferred :

This role has a base salary range of $190,000- $228,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

Benefits :

Salary : $190,000 - $228,000