Lead Data Scientist

About the job Lead Data Scientist Position: Lead Data Scientist Company Overview: Direct Recruit Agency is a leading recruitment agency that specializes in placing top talent in various industries. Our mission is to connect exceptional candidates with the best companies, providing them with the opportunity to grow and thrive in their careers. Job Summary: We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As the Lead Data Scientist, you will be responsible for leveraging VertexAI to lead the design, development, deployment, and governance of machine learning models that power and optimize our risk underwriting to achieve business objectives. You will work closely with our clients to understand their business needs and develop data-driven strategies to help them achieve their goals. Key Responsibilities: Design, develop, and deploy models that are used for risk underwriting, risk management, limit setting, pricing, and customer acquisition and engagement optimization. Analyze diverse datasets, including but not limited to credit bureau, customer behavior, and alternative data, to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation. Lead and mentor a team of data scientists and analysts, providing guidance and support. 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 to process large-scale data and build scalable data processing pipelines. Evaluate model performance and govern deployed models using appropriate metrics, techniques, and scalable automated methods. Maintain model documentation and perform ongoing refits/retraining of existing models to ensure models are always at or near optimal performance and risks of degradation are avoided or managed. Design experiments, measure, test, and conduct readouts to optimize and test the underwriting process, offers, and customer engagement. Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues. Contribute to developing best practices, standards, and documentation for machine learning processes and methodologies. Develop and implement data-driven strategies for credit risk management. Requirements: 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models, preferably with a background in consumer credit risk and the lending space. 2+ years of experience leading and managing data scientists and/or data analysts. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment. Proficiency in data preprocessing, feature engineering, and model selection techniques to optimize performance. Familiarity with Google Cloud Platform services, particularly VertexAI and Dataflow, for scalable data processing and model training. Proficiency in SQL and at least one programming language for developing scalable and efficient machine learning solutions. Understanding of credit risk models and methodologies. Strong leadership, communication, and collaboration skills. Ability to work effectively in a fast-paced, cross-functional environment. Strong understanding of statistical analysis, hypothesis testing, and experiment design. Excellent problem-solving skills with the ability to translate business requirements into technical solutions. Preferred: Experience using the Scala programming language for developing scalable and efficient machine learning solutions. 2+ years of experience building and deploying models using Vertex AI. Experience in B2C Fintech or Financial Services domain(s). Benefits: Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches If you are a highly motivated and skilled Data Scientist looking to lead a dynamic team and make a significant impact in the banking industry, we want to hear from you! Apply now at Direct Recruit Agency.

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