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Data Scientist

Pathpoint

Remote

USD 90,000 - 120,000

Full time

Today
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Job summary

A tech-enabled insurance startup is looking for a Data Scientist to leverage data for actionable insights. You will collaborate with multiple teams to understand business needs and enhance decision-making through data-driven solutions. The ideal candidate has a background in insurtech or financial services, with expertise in SQL and programming in Python or R. The role offers competitive compensation, equity, and a remote-first working environment.

Benefits

Insurance coverage
Competitive compensation
401(k) with company match
20-days PTO
Annual home office stipend
Monthly WiFi stipend
Generous paid parental leave

Qualifications

  • 2-5 years of experience as a data scientist in a related insurtech or financial services field.
  • Bachelor’s degree in a quantitative field (Mathematics, Statistics, Data Science, or Computer Science).
  • Expert with SQL and proficiency with either Python or R.

Responsibilities

  • Collaborate across departments to understand business needs and scope data requirements.
  • Build and maintain models to help the business prioritize and act quickly.
  • Create visualizations, dashboards, and reports to communicate insights.

Skills

2-5 years of experience as a data scientist
Expert with SQL
Proficiency with Python or R
Descriptive and inferential statistics
Comfortable with data visualizations

Education

Bachelor’s degree in a quantitative field

Tools

AWS
Postgres
Redshift
GitHub
Job description

Pathpoint is building the modern distribution infrastructure for the $120B E&S insurance market. Today, more than 20% of commercial insurance business is placed into the E&S market, yet agents, brokers, and carriers rely on analog, inefficient, and imprecise systems, paperwork, and tools in order to transact. Pathpoint is the only wholesale distribution platform that uses technology to connect carriers and agents around the country, streamlining and automating submissions, underwriting, binding, compliance, payments, and service more through technology and people. All brought to you by a team committed to raising the bar in E&S insurance. (Learn more)

As a data scientist at Pathpoint, you will leverage our data for actionable insights to improve our ability to move faster and more often with higher quality, data-driven decision making. You will become the go-to expert who understands our products and customers deeply and can translate their business needs into efficient, analytical execution. And as our team's dedicated data scientist, you'll have the opportunity to shape the direction of our small but highly impactful Data function.

What we look for
  • 2-5 years of experience as a data scientist in a related insurtech or financial services field
  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Data Science, Computer Science)
  • Expert with SQL and proficiency with either Python or R
  • Proficiency with descriptive and inferential statistics
  • Familiarity with building, deploying, and maintaining machine learning models in production environments
  • Comfortable communicating recommendations and analysis in compelling data visualizations
  • Experience or interest in building out the team's agentic analytics capabilities
What you'll do
  • Collaborate across Sales, Underwriting, Operations, Finance, and Engineering to understand business needs and scope data requirements, then drive those projects to completion with minimal guidance
  • Work with product, insurance, CRM and more datasets end-to-end—from ingestion and transformation through analysis and delivery—using a range of analytical and statistical approaches
  • Build and maintain models that help the business predict, prioritize, and act quickly and more frequently
  • Create visualizations, dashboards, and reports to effectively communicate insights tailored to different audiences
Data team stack
  • Cloud Services: AWS
  • Databases: Postgres, Redshift
  • ETL: Polytomic
  • Transformation and Modeling: dbt
  • Analytics: Hex, Metabase
  • AI & Dev: Claude, Cursor
  • Version Control: GitHub
What we offer
  • Insurance coverage fit for an insurance company – with some plans at no cost to you
  • Competitive compensation, equity, and total rewards
  • 401(k) with an annual company match
  • 20-days of PTO (increased to 25-days after 2-years)
  • Professional development opportunities
  • Remote-first working environment with investments in in-person collaboration
  • Annual $500 home office stipend
  • Monthly WiFi stipend
  • Generous paid parental leave
  • An early stage, tech-enabled insurance startup offering unique opportunities for growth
Pathpoint's Values
  • Hard Problems Drive Us: We believe the insurance industry hasn’t kept up with changing times and fixing that is a hard problem worth solving.
  • We Start with Why: Seek to understand what customers care about. Use data to figure out the problem.
  • We Take Ownership and Accountability: We think people are their happiest when they have high ownership and are empowered to move decisively to work on problems.
  • We Work Together: Effective teamwork is how we build and maintain customer value.
  • We Move Forward: We value the ability to persist through adversity to achieve goals and believe momentum plays an important role.

Pathpoint is an equal opportunity employer that values diversity, inclusion, and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note

We are unable to provide visa sponsorship for this position at this time. By applying to this job, you confirm that you are eligible to work in the U.S. without requiring visa sponsorship now or in the future. Thank you for your understanding.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Pathpoint we are dedicated to building a diverse, inclusive, and authentic 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 anyway. You may be just the right candidate for this or other roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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