Machine Learning Scientist (Financial Scoring)

About the role

The successful candidate will be responsible for developing and deploying machine learning models to improve financial scoring algorithms. This role involves collaborating with cross-functional teams to understand business needs, designing and implementing machine learning solutions, and continuously improving model performance through rigorous testing and validation.

Responsibilities

• Develop and maintain machine learning models for financial scoring applications
• Collaborate with product managers, data scientists, and engineers to understand business requirements and translate them into technical solutions
• Perform exploratory data analysis and feature engineering to enhance model accuracy and interpretability
• Implement and optimize machine learning pipelines using state-of-the-art tools and frameworks
• Conduct thorough model validation and ensure compliance with regulatory standards
• Stay updated with the latest advancements in machine learning and apply them to improve existing models

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• At least 5 years of experience in machine learning and data science
• Experience with Python, R, or other relevant programming languages
• Strong understanding of statistical modeling, machine learning algorithms, and their applications
• Experience with cloud-based platforms such as AWS, Google Cloud, or Azure
• Excellent problem-solving skills and ability to work independently and collaboratively
• Ability to communicate complex technical concepts to non-technical stakeholders

Qualifications

• PhD in Computer Science or a related field preferred
• Experience with large-scale data processing and distributed systems
• Knowledge of financial regulations and compliance requirements

Skills

• Python, R, or other programming languages
• Statistical modeling and machine learning algorithms
• Data preprocessing and feature engineering
• Cloud platforms (AWS, Google Cloud, Azure)
• Communication and collaboration skills

Benefits

• Competitive salary commensurate with experience
• Flexible work schedule
• Professional development opportunities
• Health insurance benefits
• Retirement savings plan

Pay

Salary is competitive and commensurate with experience.

Schedule

This role is a hybrid position requiring three (3) days per week in the Boston office.