Data Scientist – Modeling, Retention, Churn, CLV

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist with analytical initiatives to uncover business opportunities, address business inquiries, and devise business solutions.

• Comprehend business requirements and formulate research and implementation strategies utilizing data, statistical models, and machine learning methods.

• Collaborate with UW, Claims, Marketing, and Advertising teams to grasp business processes and requirements.

• Identify pertinent business data sources, carry out assigned project tasks, and execute ad-hoc analyses employing statistical and machine learning techniques.

• Operate autonomously while receiving guidance from senior data scientists and management.

• Engage in conversations regarding analysis requirements and review findings with peers and supervisors.

• Offer data support and work alongside the business to facilitate implementation through analytical or IT processes.

• Develop monitoring procedures and reports for projects that have been implemented and recognize opportunities to enhance accuracy and efficiency.

• Extract structured and unstructured data from diverse sources and utilize advanced data manipulation techniques for analysis.

• Assess data accuracy and optimize data retrieval methods.

• Design, sustain, and enhance dynamic reports, graphs, and charts via dashboards, programming, and MS Excel.

• Establish streamlined and automated analysis processes to cut costs and boost efficiency.

• Address business inquiries and perform ad-hoc analysis pertinent to reports.

• Communicate with SMEs, EBI, IT, and management to comprehend functional processes and KPIs.

• Create presentations that elucidate identified issues and potential solutions.

• Share findings and recommendations during meetings using impactful graphs and PowerPoint presentations.

• Maintain consistent attendance on a full-time schedule of at least 8 hours and 40 hours per week.

• Execute other assigned duties.

⛳️ Requirements

• Bachelor’s degree in mathematics, statistics, computer science, or other related fields.

• Minimum of 2 years of experience in data mining and data/statistical analysis.

• At least 2 years of experience with SQL and statistical software packages (Python, R, SAS).

• A minimum of 1 year of experience serving as a data scientist or in a similar capacity, with a proven record in data processing, predictive modeling, and machine learning techniques.

• At least 1 year of experience in insurance or financial service sectors.

• Proven strong skills in data mining, machine learning, programming, and optimization.

• Familiarity with cloud-based advanced data and analytics environments.

• Experience utilizing R, Python, and other programming languages.

• Strong data skills and the capability to work with large structured and unstructured data sources.

• Experience in predictive modeling, general model development, and validation processes.

• Exceptional problem-solving abilities.

• Strong analytical and critical thinking skills.

• Excellent written and verbal communication skills.

• Ability to embody the Company’s Core Values.

🏝️ Benefits

• Competitive compensation.

• Flexibility to work from anywhere in the United States for most positions.

• Paid time off (including vacation time, sick leave, 9 paid Company holidays, and volunteer hours).

• Incentive bonus programs (including potential holiday bonuses, referral bonuses, and performance-based bonuses).

• Medical, dental, vision, life, and pet insurance.

• 401(k) retirement savings plan with company matching.

• Engaging work environment.

• Opportunities for promotion.

• Education assistance.

• Professional and personal development opportunities.

• Company recognition program.

• Health and wellness resources, including complimentary mental wellbeing therapy/coaching sessions, childcare and eldercare resources, and more.