Goosehead Insurance is looking to disrupt the insurance industry by leveraging data science to solve high-impact problems, drive strategic initiatives, and create transformative opportunities across the enterprise. This includes improving operational efficiency, implementing intelligent automation, and personalizing client experiences.
Requirements
- 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.
- 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.
- Advanced familiarity with causal inference, uplift modeling, or reinforcement learning in real-world systems.
- 8+ years of experience in data science, with a strong portfolio of impactful, end-to-end solutions in production environments.
- Proven experience framing ambiguous business problems into structured, analytical solutions with measurable ROI.
Responsibilities
- 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.
- 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.
- Ensure models, data flows, and ML pipelines are built with security and compliance in mind.
- Model a security-first mindset across the data science function and mentor team members in best practices.
- Provide technical guidance and mentorship to junior team members.
Other
- Define and drive the vision for data science at Goosehead, identifying transformative opportunities across the enterprise.
- 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.
- Uphold and advocate for company standards in data security and client privacy.
- Promptly report any suspected data breaches or privacy incidents per internal protocols.
