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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Peerspace, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $165,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Analysis, Big Data, Cloud Computing, Databases, Information Engineering, Database Queries, Python (Programming Language), Machine Learning, DataOps, SQL Databases, Tableau (Software), Usage Analysis, Git, Information Technology, Google Bigquery, Looker Analytics - **Published:** September 11, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-data-scientist/11113823?handler=ApplyRedirect ## About the Role * Has a strong interest in using data to understand and address business and user problems * Can manage a diverse set of stakeholders and drive cross-functional alignment on analytical priorities * Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next * Is self motivated and can unblock themselves when the perfect dataset isn't readily available or the business question isn't clearly articulated * Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users, * 5+ years of experience in data science, product analytics, or similar functions * Strong SQL skills and comfort working with large datasets * Experience building visualizations with Tableau, Looker or similar BI platforms * Proficient in communicating insights to business partners * Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities * Experience applying statistics and experiment design in a business context * Experience in at least one data-oriented language like Python, R or Julia * Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering) Preferred Qualifications: * Experience with another two-sided marketplace * Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context ## Description Senior Data Scientist partnering with Product, Engineering, and Design teams to analyze user behavior, product performance, and marketplace dynamics. Responsibilities include developing metrics and reporting frameworks, designing experiments, diagnosing business trends, analyzing marketplace behavior, and aligning stakeholders on analytical priorities. The role uses SQL and Python alongside BigQuery, dbt Cloud, Airflow, Tableau, and Statsig, with a focus on product analytics, experimentation, and data-informed decision-making., We are looking for a senior data scientist to partner with our PED (Product, Engineering, Design) teams and our diverse business units to help them understand our users, our product performance and our marketplace as a whole. This role sits on our Analytics team and will report directly to the Head of Analytics., * Work closely with PED to set goals, understand how users are engaging with our product, and learn from experiments in our two-sided marketplace * Develop measurement frameworks and institute new metrics or reporting systems to help us understand our marketplace and users * Align cross-functional stakeholders on the priorities and analytical roadmap for critical areas of our business * Design and analyze experiments * Dive deep on user behavior and the dynamics of our marketplace * Unpack business trends and diagnose drivers of business performance * Collaborate with the rest of the Analytics and Data Engineering teams and the broader data community to grow and nurture data culture at Peerspace Technical Environment: - Databases: Google BigQuery - Tooling: dbt Cloud, Airflow, Git - BI Tool: Tableau, Statsig (for A/B testing) - Languages: SQL, Python, Artificial Intelligence * Healthtech * Machine Learning * Natural Language Processing * Biotech * Pharmaceutical Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues. Top Skills: Agentic AiArtificial IntelligenceClaims DataElectronic Health Records (Ehr)HedisLarge Language ModelsMachine LearningOmop PatientPoint, Develop algorithmic pricing data products using machine learning, statistical modeling, optimization, and predictive analytics. Build interpretable pricing systems, deploy and monitor production models, analyze campaign and business data, communicate actionable insights to stakeholders, and mentor junior data scientists. Collaborate with engineering, product management, and pricing teams to deliver solutions for supply, demand, willingness-to-pay, and ROI optimization. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)