招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Unlimited PTO
•Parental Leave
•Learning Budget
•Free Meals
•Healthcare
•401k
•Equity
•Unlimited Pto
•Parental Leave
•Learning
•Meals
Required Skills
Data Science
Python
SQL
Statistics
Machine Learning
Title: Senior Data Scientist
Location: Austin, TX
Reporting to: Director, GTM
About Hippo:
Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.
About the Role:
Build it. Shape it. Scale it.
We’re looking for a Senior Data Scientist to help us build modern analytics and AI capabilities from the ground up. Our data function is early, which means this role will focus on creating foundations, executing on new analytics opportunities and growing sophistication over time.
You’ll work across our agency, homeowners, and fronting carrier businesses, partnering closely with actuaries, underwriters, and business leaders to turn data into insight, action, and smarter decisions.
Why This Role:
-
Greenfield opportunity with real ownership
-
Direct impact on growth, efficiency, and decision-making
-
Close partnership with the business — your work will get used
-
Help shape an AI-native analytics foundation, not bolt one on later
What You’ll Do:
-
Build data products that support everything from core reporting to advanced analytics and AI
-
Deliver practical BI and analytics today while helping us move toward predictive models and AI-driven insights
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Collaborate with actuaries, underwriters, and product leaders to identify high-impact opportunities
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Develop and deploy statistical models, ML, and emerging AI use cases
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Help define lightweight standards and best practices as we grow
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Be hands-on — this is a builder role, not a research lab
Must Haves:
-
Minimum of 6-8 years of experience in data science, advanced analytics, or applied statistics , with a Bachelor’s degree in a quantitative field (statistics, mathematics, computer science, engineering)
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Comfortable working across the spectrum: SQL + dashboards → models + AI
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Proficiency in Python, SQL, Tableau, Skoda, and modern analytics tools
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Thrives in early-stage or low-maturity data environments
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Curious, pragmatic, and business-oriented
Nice to Have:
- Insurance experience is a plus, but strong problem-solving matters more
Benefits and Perks:
Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with:
-
Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP)
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Equity-This position is eligible for equity compensation
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Training and Career Growth - Training and internal career growth opportunities
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Flexible Time Off - You know when and how you should recharge
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Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers
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Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
*Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. *
Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known.
Hippo CCPA
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About Hippo

Hippo
Series CProperty insurance company.
201-500
Employees
San Jose
Headquarters
$1.5B
Valuation
Reviews
3.7
1 reviews
Work Life Balance
2.5
Compensation
3.5
Culture
3.0
Career
3.0
Management
2.0
65%
Recommend to a Friend
Pros
Innovative company vision
Exciting work environment
Good medical benefits
Cons
Stress
Micro-management
Tough work
Salary Ranges
38 data points
Senior/L5
Senior/L5 · Senior Data Analyst
1 reports
$180,700
total / year
Base
$139,000
Stock
-
Bonus
-
$180,700
$180,700
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Interview 1
2
Interview 2
3
Interview 3
4
In-person Interview
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