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
Key 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.
Required Qualifications
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.
Preferred Qualifications
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.
Benefits Summary
- 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
Equal Employment Opportunity:
Goosehead is an equal-opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.
To learn more about our job opportunities, apply here. We look forward to speaking with you!
Skills Required
- 8+ years of experience in data science with end-to-end production solutions
- Expertise in Python and machine learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)
- Deep experience with SQL and manipulating large-scale structured and unstructured datasets
- Demonstrated ability to lead teams and mentor junior data scientists while remaining hands-on
- Proven experience framing ambiguous business problems into analytical solutions with measurable ROI
- Strong communication skills for both executive and technical audiences
- Experience with cloud platforms (Databricks, Azure, and/or Snowflake)
- Experience with containerization (Docker) and CI/CD for ML
- Advanced understanding of LLMs and generative AI (fine-tuning, RAG pipelines, prompt engineering)
- Familiarity with causal inference, uplift modeling, or reinforcement learning
- Background in insurance, financial services, or regulated industries
- Experience leading cross-functional initiatives combining data engineering, product, and business
What We Do
Goosehead Insurance is an innovative independent personal lines insurance agency that distributes its products and services through corporate and franchise locations throughout the United States. Founded in 2003, the company focuses on providing extraordinary value by offering a broad choice of products and a world-class service experience, representing over 200 insurance companies that underwrite both personal and commercial lines.
