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Data Scientist, Growth – Partnerships & Customer Experience

Next Insurance

Palo Alto, CA · HybridFull-time$158–214K/yrPosted 1w agoStill listed today

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At a glance

Compensation
$158–214K/yr
Location
Palo Alto, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Growth Data Scientist uses data to shape how ERGO NEXT reaches, serves, and converts customers across its partnership channel and customer experience funnel. Working with Product and Partnerships teams, the role identifies growth opportunities, analyzes customer behavior, and informs product and business decisions. The position combines statistical methods, business judgment, experimentation, and emerging AI capabilities to make analysis more scalable and impactful.

Skills & qualifications

RequiredNice to have

Skills

Strategic PartnershipsStatisticsRCausal Reasoning and DiagnosticsSQLExperimentationFinancial TechnologyData-Driven Decision MakingArtificial IntelligenceDesign of ExperimentsCustomer SatisfactionStatistical AnalysisPythonActionable InsightsAI-Enabled SolutionsCausal InferenceExperiment DesignMetric FrameworksCommunicationCross-Functional InfluenceCustomer Journey AnalysisConversion Funnel AnalysisGrowth AnalysisPartnership Performance AnalysisBuilder MindsetAutomation

Qualifications

4+ Years Data Science or Quantitative Analytics ExperienceFintech or Growth and Partnerships Experience

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Location: Palo Alto (hybrid)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.

Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

As a Growth Data Scientist, you will use data to help shape how ERGO NEXT reaches, serves, and converts customers across our partnership channel and customer experience funnel. You will work closely with Product and Partnerships teams to identify growth opportunities, understand customer behavior, and turn insights into product and business decisions.

We’re looking for someone who combines strong analytical and statistical skills with business judgment, curiosity, and a bias toward action. You should be comfortable working through ambiguous questions, developing a point of view, and using both traditional data science methods and emerging AI capabilities to make analysis more scalable, efficient, and impactful.

What You’ll Do:

  • Use AI as part of the day-to-day data science workflow and identify opportunities to develop reusable AI-enabled tools, skills, or agents that solve practical analytical and business problems.

  • Drive strategy and roadmap for the Partnership channel and the customer experience funnel through actionable data insights.

  • Own analytics for the entire customer experience funnel, from acquired opportunities to purchases.

  • Design and evaluate experiments and causal analyses to measure the impact of product, funnel, and customer experience changes and guide future strategic decisions.

  • Analyze affiliates performance across the partnership channel, identifying differences in traffic quality, conversion, product mix, and customer behavior to uncover opportunities to improve partner growth and customer outcomes.

  • Identify, size, and prioritize growth opportunities, translating ambiguous business questions into rigorous analyses and actionable recommendations.

  • Apply statistical analysis, segmentation, modeling, and deep-dive analysis to understand the underlying drivers of business performance.

  • Define clear metrics, measurement frameworks, and visualizations to help business monitor performance and make data driven decisions.

What We Need:

  • [4+] years of experience in Data Science or other highly quantitative analytical roles (experience working in fintech or growth & partnerships is a plus).

  • Ability to quickly learn new AI capabilities, identify meaningful gaps in existing workflows, and apply or develop practical AI-enabled solutions that improve how data science work gets done.

  • Advanced proficiency in SQL and experience using Python or R for statistical analysis and analytical workflows.

  • Strong foundation in statistics, experimentation, and causal inference.

  • Experience with experiment design, implementation, analysis, and recommendation for actionable insights

  • Ability to define the appropriate metric framework to empower the data-driven decision-making process

  • Strong communication skills, with the ability to translate complex analyses into clear recommendations and influence cross-functional stakeholders.

  • Experience analyzing customer journeys, conversion funnels, or growth with the ability to connect changes in metrics to underlying business drivers.

  • Experience working with partnership or other multi-channel business models, with the ability to evaluate partner performance.

Unstoppable Qualities:

  • A builder mindset, with an interest in using data, automation, and AI to turn recurring analytical problems into scalable capabilities for the broader organization.

Note on Fraudulent Recruiting

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.

The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.

US annual base salary range for this full-time position: $158,000—$214,000 USD

Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

How this job compares

Set against the 4,798 open Data Scientist jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$158–214K/yr
  • California median$156–235K/yr675 salary ranges
  • US median$136–215K/yr3,679 salary ranges

This range's midpoint, $186K, is 7% below the California median midpoint ($200K) — in the middle half of Data Scientist salary ranges in California.

Openings
Olive Jobs lists 811 open Data Scientist jobs in California and 4,798 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 4 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,109 postings).
Education
2,286 of the 4,798 open Data Scientist jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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