Data Scientist

About the Role

Key Responsibilities

• Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
• Research and develop new approaches, keeping up to date with statistical analysis methods, software, and data sources for continual improvement of quantitative solutions.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform ad-hoc analysis and present results clearly.
• Communicate results and ideas to key decision makers.
• Create clear and easy to understand documents for models.
• Present analysis ideas, progress reports, and results to internal and external customers.
• Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools, participating in collaborations for implementation.

Requirements

• 1+ years of practical experience working as a data scientist applying machine learning to real-world problems.
• Great communication skills to articulate technical aspects of model development to internal and external customers.
• Exposure to credit portfolio management, loss forecasting, and risk management.
• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting.
• Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras.
• Proven applied statistics skills, such as distributions, statistical testing, regression, regulation.
• Logical, evidence-based problem solving and critical thinking skills.

Nice to Have

• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
• Working familiarity with cloud computing environments.
• Exposure to NLP algorithms.

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year.
• Health benefits (medical, dental, vision), health spending accounts.
• Mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage.
• Legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching.
• Employee stock purchase plan, 401(k) with employer match, access to Employee Resource Groups.