About the RoleAs a Data Scientist at Nclusion, you will be responsible for developing and implementing machine learning and data models to analyze financial and user data, create comprehensive reports and visualizations, and improve our decision-making processes for underserved communities. You will also build and maintain data dashboards to track key metrics and provide actionable insights to stakeholders.
What You'll Do- Build ML Models - Develop models for credit risk assessment, fraud detection, and customer segmentation
- Data Analysis - Extract meaningful insights from complex financial datasets, create robust feature sets, and develop innovative approaches to evaluate creditworthiness
- Risk Assessment Systems - Design and implement automated risk scoring systems
- Fraud Detection - Create and maintain ML models to identify potential fraud patterns
- Model Monitoring and Optimization - Continuously monitor model performance, identify bias, and optimize algorithms
- Cross-functional Collaboration - Work closely with engineering, product, finance, and compliance teams to implement ML solutions that meet regulatory requirements and business need
- Data Visualization & Reporting - Design and maintain comprehensive dashboards and reports to communicate key insights to stakeholders
What You Bring to the Table- 8+ years of experience working with machine learning, data science, and analytics in production environments
- Extensive experience with Python libraries for data analysis and deep learning frameworks
- Proven track record implementing supervised and unsupervised learning algorithms and deep learning models
- Strong foundation in statistical analysis, experimental design, and data visualization
- Experience with big data processing frameworks and databases (BigQuery, Airflow, Spark, PosgreSQL)
- Understanding of financial services, credit risk assessment, and fraud detection
- Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively across teams
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
Benefits and Perks- 401k with 4% match
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Competitive compensation & equity - We believe in sharing success.
- Flexible PTO - We focus on impact, not tracking vacation days. We encourage a minimum of 14 days.
- In-office lunch, team events & culture
Yearly Salary: $150,000 - $260,000
