Data Scientist

Goosehead Insurance • Westlake, OH

38d

About The Position

About Goosehead Since 2003, Goosehead Insurance has been disrupting the insurance industry by giving clients the power of choice, utilizing a smarter marketing approach, and delivering world-class service. This is all powered by our focus on hiring and retaining extraordinary people. Our clients trust us with their most valuable possessions, so we’re more than just a bit selective when it comes to hiring new team members. We’re seeking an experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. Who You Are: You are a curious and experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. You’re comfortable owning the full lifecycle of a project — from exploratory analysis to building and deploying models in production. You think critically, communicate clearly, and are passionate about driving measurable outcomes. You thrive in cross-functional teams and can bridge technical rigor with business context

Requirements

• 8+ years of experience in data science, with a strong portfolio of impactful, end-to-end solutions in production environments.
• Expertise in Python and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Deep experience with SQL and manipulating large-scale datasets across structured and unstructured formats.
• Demonstrated ability to lead teams and mentor junior scientists while maintaining hands-on technical expertise.
• Proven experience framing ambiguous business problems into structured, analytical solutions with measurable ROI.
• Strong communication skills, with the ability to synthesize complex ideas for both executive and technical audiences.

Nice To Haves

• Experience with cloud platforms (Databricks, Azure, and/or Snowflake), containerization (e.g., Docker), and CI/CD for ML.
• Advanced understanding of LLMs and generative AI, including fine-tuning, RAG pipelines, and prompt engineering.
• Familiarity with causal inference, uplift modeling, or reinforcement learning in real-world systems.
• Background in insurance, financial services, or similarly regulated industries.
• Experience in leading cross-functional initiatives that combine data engineering, product, and business domains.

Responsibilities

• Define and drive the vision for data science at Goosehead, identifying transformative opportunities across the enterprise.
• Design, develop, and deploy production-grade machine learning systems that directly impact strategic priorities, including operational efficiency, intelligent automation, and client personalization.
• Develop new frameworks and reusable methodologies to advance experimentation, model interpretability, and decision intelligence at scale.
• Lead and mentor a team of data scientists, fostering a culture of technical excellence, creativity, and continuous learning.
• Serve as a thought partner to executive leadership, translating business challenges into data science strategies and articulating impact through clear storytelling.
• Establish and uphold best practices in data science operations — including reproducibility, model governance, and ethical AI principles.
• Stay ahead of the curve in AI research, LLMs, and emerging technologies; drive adoption of innovations that position Goosehead as an industry leader.

Benefits

• High-quality voluntary health, vision, disability, life, and dental insurance programs
• 401K Matching Plan
• Employee Stock Purchase Plan
• Paid holidays, vacation, and sick leave
• Corporate-sponsored programs to enhance employee physical, financial, mental, and emotional wellness
• Financial Solution Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed