Senior Data Scientist

• Gather, interpret, and manipulate structured and unstructured data for advanced analytical solutions
• Develop scalable, automated solutions using machine learning, simulation, and optimization
• Select modeling techniques and technologies based on data limitations, applications, and business needs
• Develop and deploy models within the Model Development Control and Model Risk Management frameworks
• Compose technical documentation for knowledge persistence, risk management, and technical review audiences
• Assess business needs and recommend analytical and modeling projects
• Prioritize analytics and modeling problems with business and analytics leaders
• Build and maintain reusable, production-quality algorithms and supporting code
• Translate complex business requests into analytical questions, execute analyses/models, and communicate outcomes to non-technical colleagues
• Manage project milestones, risks, and impediments
• Escalate issues that could limit project success or implementation
• Develop deployment best practices with Data Engineering and IT
• Maintain awareness of cutting-edge techniques and learn new technologies and methodologies
• Mentor junior data scientists
• Participate in internal data science technology and culture communities
• Identify, measure, monitor, and control risks in accordance with risk and compliance policies

• Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or another similar quantitative discipline; OR 4 years of additional relevant experience may substitute for the degree
• 6 years of experience in predictive analytics or data analysis, OR an advanced degree in a similar quantitative discipline and 4 years of experience in predictive analytics or data analysis
• 4 years of experience training and validating statistical, physical, machine learning, and other advanced analytics models
• 4 years of experience using a dynamic scripted language such as Python or R for statistical analyses and/or building and scoring AI/ML models
• Experience writing easy-to-follow, well-documented, transparent code
• Strong experience querying and preprocessing structured and/or unstructured databases using SQL, HQL, No
  
  SQL, or similar query languages
• Strong experience working with structured, semi-structured, and unstructured data files, including numeric delimited files, JSON/XML, text documents, and images
• Skill performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics
• Ability to assess and articulate regulatory implications and expectations of modeling efforts
• Advanced experience with supervised modeling, including linear/logistic regression, discriminant analysis, support vector machines, decision trees, and forest models
• Advanced experience with unsupervised modeling, including k-means, hierarchical/agglomerative clustering, neighbors algorithms, and DBSCAN
• Experience guiding and mentoring junior technical staff in business interactions and model building
• Experience communicating analytical and modeling results to non-technical business partners with business recommendations and actionable applications
• Must not require immigration support or visa sponsorship, including H-1B, TN, or STEM OPT Training Plans

Demonstrates expertise in predictive analytics and data analysis, with a strong focus on developing and deploying machine learning models. Proficient in translating complex business needs into analytical solutions while effectively communicating results to non-technical stakeholders.

• Predictive Analytics
• Machine Learning Model Development
• Python or R Programming
• SQL Querying
• Statistical Analysis

• Predictive Analytics
• Machine Learning
• Statistical Modeling
• Data Analysis
• SQL
• Python
• R
• Data Preprocessing
• Model Risk Management
• Technical Documentation

• Communication
• Mentoring
• Project Management
• Problem Solving
• Collaboration

• Data Science
• Model Development Control
• Risk Management
• Regulatory Compliance
• Data Engineering