Data Scientist

Goosehead Insurance; Trophy Club (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401K Matching

Employee Stock Purchase Plan

Paid holidays and vacation

Wellness programs

Job summary

Goosehead Insurance is seeking an experienced Data Scientist to own the full lifecycle of data projects, from exploration to deployment, with a focus on measurable business impact. You will work across cross-functional teams to translate raw data into actionable insights and scalable solutions.

The role emphasizes building predictive models and robust data pipelines while communicating results to business leaders and non-technical stakeholders.

Qualifications

• 5+ years of experience in data science or analytics.
• Strong Python programming with Pandas and scikit-learn.
• Proficiency in SQL and large-scale relational databases.
• Experience with data visualization tools (Tableau or similar).
• Ability to communicate complex concepts to non-technical stakeholders.
• Experience leading end-to-end data science projects.

Responsibilities

• Design, build, and deploy predictive models to improve decision-making in areas such as service staffing optimization, marketing attribution, demand forecasting, and client retention.
• Analyze complex datasets to identify patterns, generate insights, and support business strategy.
• Partner with business stakeholders to frame problems, prioritize use cases, and measure the impact of data science initiatives.
• Work closely with data engineering to shape data infrastructure and pipelines to support scalable model development.
• Create compelling visualizations and reports to communicate findings clearly to technical and non-technical audiences.
• Contribute to the development of best practices in data science, including model governance, code review, documentation, and reproducibility.

Skills

Python

SQL

Data Visualization

Stakeholder Communication

End-to-End Projects

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Spark

AWS

Job description

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.

Job Summary

We’re seeking an 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.

Principal Duties And Responsibilities

• Design, build, and deploy predictive models to improve decision-making in areas such as service staffing optimization, marketing attribution, demand forecasting, and client retention.
• Analyze complex datasets to identify patterns, generate insights, and support business strategy.
• Partner with business stakeholders to frame problems, prioritize use cases, and measure the impact of data science initiatives.
• Work closely with data engineering to shape data infrastructure and pipelines to support scalable model development.
• Create compelling visualizations and reports to communicate findings clearly to technical and non-technical audiences.
• Contribute to the development of best practices in data science, including model governance, code review, documentation, and reproducibility.
• Stay current with trends in machine learning, AI, and data tooling and bring innovative thinking to the team.
• Follow company policies and procedures related to data security and privacy.
• Participate in ongoing training for data handling best practices.
• Treat client and company data with the highest standards of confidentiality.
• Report any security or privacy incidents promptly.
• Provide technical guidance and mentorship to junior team members.

Experience And Education

• 5+ years of experience in data science, analytics, or a related quantitative field.

Required Skills And Abilities

• Strong programming skills in Python, with experience utilizing libraries such as Pandas, scikit-learn, or similar.
• Proficient in SQL and working with large-scale relational databases.
• Experience with data visualization tools (e.g., Tableau or equivalent).
• Strong story-telling skills and the ability to explain complex concepts to non-technical stakeholders.
• Demonstrated experience leading end-to-end data science projects with measurable business outcomes

Preferred Qualifications

• Familiarity with cloud platforms (e.g., AWS, Azure) and distributed computing (e.g., Spark).
• Understanding of design, deployment, and testing of custom LLMs.
• Experience deploying machine learning models to production environments.
• Background in insurance, financial services, or other highly regulated industries.
• Experience with A/B testing or causal inference methods.

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

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.