Goosehead Insurance, Inc.

Data Scientist

Goosehead Insurance, Inc. • $90K — $130K *
Westlake, OH 44145In-Person
Information Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 8+ years of data science experience with a strong portfolio of impactful solutions
  • Expertise in Python and machine learning libraries such as scikit-learn and TensorFlow
  • Deep experience with SQL and handling large datasets
  • Demonstrated leadership skills with hands-on technical expertise
  • Proven ability to translate ambiguous business problems into analytical solutions
  • Strong communication skills for diverse audiences

Responsibilities

  • Define and drive the vision for data science at Goosehead
  • Design, develop, and deploy machine learning systems to enhance operational efficiency
  • Create frameworks and methodologies for model interpretability and decision intelligence
  • Lead and mentor a team of data scientists, fostering a culture of continuous learning
  • Partner with executive leadership to align data strategies with business challenges
  • Establish best practices in data science operations and ethical AI principles
  • Stay updated on AI research and drive innovation adoption

Benefits

  • High-quality voluntary health, vision, disability, life, and dental insurance
  • 401K Matching Plan
  • Employee Stock Purchase Plan
  • Paid holidays, vacation, and sick leave
  • Corporate-sponsored programs for employee wellness
  • Financial Solution Program
Full Job Description
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


To learn more about our job opportunities, apply here. We look forward to speaking with you!

About Goosehead Insurance, Inc.

Goosehead Insurance, Inc. is a rapidly growing independent personal lines insurance agency that distributes its products and services through a network of over 1,000 independent agents across the United States. The company offers a range of insurance products, including homeowners, auto, umbrella, and flood insurance, as well as life insurance and other products. The company's proprietary technology platform, called Goose, enables its agents to provide a high level of service to their clients and to access a wide range of insurance products from multiple carriers. The company was founded in 2003 and is headquartered in Westlake, Texas.
Learn more about Goosehead Insurance, Inc.
Size
1,238 employees
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$9.2 million
5 Year Trend
+36.9%
Revenue
$117 million
NASDAQ
GSHD
* Ladders Estimates

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