Data Scientist

Role: Data Scientist

Location: United States of America (remote)

5+ years of experience applying machine learning and statistical modeling techniques in a financial services environment

Key Responsibilities:

Data Strategy and Analysis

• Analyze large and complex financial datasets to identify patterns, trends, and actionable insights.

• Build and deploy predictive models to address business problems such as credit risk, customer churn, and marketing ROI.

• Develop and maintain ETL pipelines to ensure the integrity and accuracy of financial data.

Model Development and Deployment

• Design, train, and implement machine learning models to enhance decision-making.

• Evaluate model performance using appropriate metrics and refine models based on feedback and new data.

• Collaborate with data engineering teams to ensure seamless deployment and integration of models into production.

Business Collaboration and Communication

• Partner with stakeholders across product, marketing, risk, and compliance teams to define data requirements and deliver insights.

• Translate complex analytical results into clear, actionable recommendations for business leaders.

• Communicate findings effectively to both technical and non-technical audiences.

Compliance and Governance

• Ensure models comply with financial regulations and industry standards.

• Maintain documentation of data science processes, models, and validation efforts to meet audit and compliance requirements.

Required Qualifications:

• Bachelors or Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.

• 5+ years of experience applying machine learning and statistical modeling techniques in a financial services environment.

• Strong proficiency in Python, R, SQL.

• Expertise in building models for credit risk, customer segmentation, and marketing optimization.

• Solid understanding of regulatory requirements and model governance.

Preferred Skills:

• Experience with NLP, time series forecasting, and anomaly detection.

• Knowledge of financial products such as loans, credit cards, and investment portfolios.

• Strong business acumen and the ability to align data solutions with business objectives.

Soft Skills:

• Excellent problem-solving abilities and analytical thinking.

• Strong communication and storytelling skills to convey insights effectively.

• Ability to work collaboratively in cross-functional teams.