Senior Data Scientist

Job Overview

SENIOR DATA SCIENTIST ------------------------ Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events.

We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.

Job Description

Our people are the heart of Peerspace. We are a team that values inclusion and working cross functionally. Our strategy and objectives are clear and we support one another to exceed expectations.

The Role 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.

The ideal candidate: 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 Responsibilities: 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 Qualifications: 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 Working At Peerspace The annual salary range for this role is $165,000 to $175,000.

Key Responsibilities

• SENIOR DATA SCIENTIST ------------------------ Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events.
• Our strategy and objectives are clear and we support one another to exceed expectations.
• We believe that a healthy company culture creates an environment where people are excited to come into work everyday and contribute to building a successful organization.
• The ideal candidate: 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 Responsibilities: 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 Qualifications: 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 Working At Peerspace The annual salary range for this role is $165,000 to $175,000.
• Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including: ● 100% employee coverage of medical, dental and vision insurance ● Discount on all Peerspace bookings ● Laptop, high res display, and stipend to setup home office ● Monthly cell phone and internet credit ● Annual In person all company offsite and team-building events (in Peerspace locations, of course) ● Wellness Days observed company wide Diversity At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive.
• Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways.

Required Skills and Qualifications

• The ideal candidate: 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 Responsibilities: 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 Qualifications: 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 Working At Peerspace The annual salary range for this role is $165,000 to $175,000.
• The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.
• We'd especially like to encourage applicants from different backgrounds, locations, and experiences.
• At Peerspace, we are committed to maintaining a secure and transparent hiring experience.

Benefits and Perks

• The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.
• Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including: ● 100% employee coverage of medical, dental and vision insurance ● Discount on all Peerspace bookings ● Laptop, high res display, and stipend to setup home office ● Monthly cell phone and internet credit ● Annual In person all company offsite and team-building events (in Peerspace locations, of course) ● Wellness Days observed company wide Diversity At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Peerspace is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.