Principal Data Scientist

About the Role

Key Responsibilities

• Work with different business departments such as Product, Underwriting, Claims, Sales Development, Marketing, and Customer Experience to understand business processes and needs.
• Identify and independently lead business opportunities to improve processes, accuracy, and efficiency.
• Leverage various data sources, statistical and machine learning algorithms, and automated processes to enhance business decision-making.
• Create reviews and lead discussions with colleagues and managers regarding findings and solutions.
• Drive data support on projects and collaborate with business teams on solution implementation through business or IT processes.
• Create monitoring procedures and reports for implemented projects, review results, and identify opportunities for improvement.
• Research new data sources and infrastructure, create documentation and best practices for data access, and develop data repositories to meet business needs.
• Review data for accuracy and optimize data retrieval methods.
• Prepare reports, graphs, and charts based on research and analysis, and develop dynamic reports and dashboards.
• Create procedures to automate analysis and streamline processes to reduce costs and improve efficiency.
• Answer ad hoc questions from the business related to reports and analysis.
• Create presentations to communicate findings, solutions, and recommendations, and lead meetings to present these insights.
• Mentor junior team members, provide training on tools and business insights, validate their results, and conduct code reviews.
• Establish and maintain a highly automated CI/CD pipeline from raw data to machine learning models.
• Attend full-time work schedule of at least 8 hours per day, 40 hours per week.

Requirements

• Bachelor's degree in math, statistics, computer science, or related fields; Master's degree preferred.
• At least 6 years of experience in data mining and statistical analysis.
• At least 6 years experience with SQL and statistical software packages such as Python, R, SAS.
• At least 6 years experience working as a data scientist or similar role with proven skills in data processing, predictive modeling, and machine learning.
• At least 3 years of experience in P&C insurance or related field.
• Experience leading projects in group settings and mentoring peers or interns.
• Strong skills in data mining, machine learning, programming, and optimization.
• Expert knowledge of cloud-based analytics environments, including AWS and related infrastructure.
• Proficiency in R, Python, and other programming languages at an expert level.
• Ability to work with large structured and unstructured data sources.
• Experience in predictive modeling, model validation, and text analytics techniques.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong written and verbal communication skills.

Nice to Have

• Experience with GitHub or other cloud-based infrastructure.
• Knowledge of creating and explaining meaningful graphs and presentations.
• Familiarity with creating automated procedures to reduce costs and improve efficiency.

Benefits & Perks

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off including vacation, sick leave, and holidays
• Incentive bonus programs including holiday, referral, and performance bonuses
• Medical, dental, vision, life, and pet insurance
• 401(k) retirement savings plan with company match
• Engaging work environment and promotional opportunities
• Education assistance and professional development
• Company recognition program
• Health and wellbeing resources including mental health support and caregiving resources