Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

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🔥 0 minutes ago

🏈 Alabama, Alaska, +43 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $118.7k - $230.6k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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This company has sponsored H1B visas in the past.

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

💸 Finance

👥 B2C

Insurance • Finance • B2C

Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.

📋 Description

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies. • Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention. • Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI. • Drive acquisition, retention, and monetization through data-driven experimentation and modeling. • Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization. • Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance. • Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists. • Drive best practices in experimentation, measurement, and growth analytics across the company.

🎯 Requirements

• Minimum: Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or related technical field • 7+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact. • 5 years of experience in data mining and data/statistical analysis. • 5 years experience with SQL and statistical software packages (Python, R, SAS) required. • 5 years experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques. • 1 year experience in P&C insurance. • 1 year experience leading projects in group settings and mentoring peers/interns. • Expert-level SQL and Python, and experience working in modern data and ML ecosystems. • Experiences in growth-focused data science (e.g., paid marketing optimization, attribution, funnel diagnostics, experimentation, user segmentation). • Design and lead complex A/B/n testing frameworks, including multi-armed bandits and causal inference models to measure impact in ambiguous environments. • Hands-on experience building and deploying production ML models. • Experience in fine-tuning Generative AI (LLMs) for domain-specific applications is a plus.

🏖️ Benefits

• Competitive compensation • Flexibility to work from anywhere in the United States for most positions • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) • Medical, dental, vision, life, and pet insurance • 401 (k) retirement savings plan with company match • Engaging work environment • Promotional opportunities • Education assistance • Professional and personal development opportunities • Company recognition program • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more