Respondology is looking for a hands-on and forward-thinking Senior Data Scientist (Full Stack) to join our growing team. This is a fantastic opportunity for someone who thrives at the intersection of product quality, experimentation, and data platforms—and who wants to have a direct impact on how we measure, safeguard, and scale excellence.

You’ll define the quality bar for our products and build the experimentation and evaluation systems that make it effortless for engineers and product to ship confidently. From formalizing product quality metrics to enabling robust experimentation and reporting, you’ll create the foundations that engineering, product, and leadership teams rely on every day.

Respondology is the AI-powered social comments company for moderating unwanted content, surfacing insights, and engaging at any scale. Fast to deploy. Easy to use. Trusted by hundreds of leading brands to optimize their organic and paid social performance.

The ideal candidate

• Experienced IC who can bootstrap an experimentation and quality evaluation program end-to-end.
• Strong expertise in Python and data wrangling with pandas/polars; solid SQL and data modeling skills.
• Hands-on experience building and maintaining evaluation suites and guardrails that prevent regressions.
• Can run segment-specific experiments to understand heterogeneous impact.
• Familiarity with workflow orchestration and modern data tooling
• Ability to translate business goals into measurable product quality metrics and leadership-facing KPIs.
• A proactive, collaborative mindset working with Product, Eng, CS, and RevOps.
• DS-first with DE range: willing to hop into database and pipeline tasks as needed to unblock outcomes (bonus points for Snowflake experience).
  

A Day in the Life

• Formalize quality metrics for Respondology’s products (using golden sets where possible and pragmatic heuristics when needed).
• Make business and product metrics easily accessible for leadership via reliable pipelines and dashboards.
• Build internal tooling for robust experimentation.
• Create systems that make accidental regressions hard, such as pre-merge evaluation suites and automated guardrails.
• Set up pipelines for ongoing quality monitoring and reporting.
• Pitch in on data engineering needs across our Postgres and OpenSearch stack today, and help lead a future warehouse effort and orchestration rollout.
  

Here’s what you need to get our attention

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related technical field—or equivalent professional experience.
• 5+ years of professional experience as a Data scientist or in a similar role.
• Hands-on experience with SQL, Python, and modern data tools.
• Demonstrated ability to translate business needs into technical data solutions.

Here’s what will make us call you for sure

• Experience in a fast-paced startup or scaling SaaS environment.
• Strong understanding of data quality frameworks and best practices.
• Passion for building systems that make data more reliable, accessible, and actionable.
• Excellent communication skills with both technical and non-technical stakeholders.

Base Salary: $140,000–$170,000 DOE plus bonus and equity. Open to Candidates in the US and Canada.

And if we haven't convinced you yet, here is why you'll want to be part of our team:

• We have a values-led culture with team members who have your back.
• We support 100% remote employment or you may come into our beautiful offices if you’re near Boulder, CO—dogs welcome.
• We understand the importance of a healthy work-life balance through providing flexible work arrangements, as well as a Flex PTO plan with generous holidays including a break between Christmas and New Years.
• We offer comprehensive and competitive benefits to support employee and family well-being including 100% fully paid family leave policies, life insurance and supplemental insurance options.
• We provide matching traditional and Roth 401k, fully vested from day one.

Come as you are: Your background, your beliefs, your pet projects, your playlist—none of those should hold you back from applying. If you’re great at what you do and want to be part of something that’s making a real difference, we’d love to hear from you.