Lead Data Scientist

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $118.7k - $230.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

🚘 Automotive

💼 Consulting

📦 Logistics

Automotive • Consulting • Logistics

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

• Partner with Marketing, Sales, and Customer Experience organizations to identify growth opportunities • Diagnose business challenges, define analytical roadmaps, and drive growth strategies • Develop analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention • Build scalable machine learning solutions for targeting, segmentation, uplift modeling, and LTV prediction • Drive acquisition, retention, and monetization through experimentation and modeling • Translate complex data insights into actionable recommendations for organizational decision-making • Collaborate with engineering teams to productionize models and analytics pipelines • Stay familiar with state-of-the-art AI solutions in Data Science • Mentor junior data scientists • Drive best practices in experimentation, measurement, and growth analytics across the company

🎯 Requirements

• BS in STEM majors is required • 7+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact • Expert-level SQL and Python • Experience working in modern data and ML ecosystems • Experience in growth-focused data science, including paid marketing optimization, attribution, funnel diagnostics, experimentation, and user segmentation • Ability to design and lead complex A/B/n testing frameworks, including multi-armed bandits and causal inference models • Hands-on experience building and deploying production ML models • Solid communication skills and good storytelling skills • Ability to operate in zero-to-one problem spaces where clear ground truths may not exist • Strong product and business intuition; comfortable partnering with senior-level stakeholders • MS/Ph.D. preferred • Experience fine-tuning Generative AI (LLMs) for domain-specific applications is a plus • Experience in a consumer, fintech, SaaS, or marketplace environment 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 • Competitive salary • Bonus potential • Reasonable accommodations for qualified individuals with disabilities

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