Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 34 days ago

Senior Data Scientist

Peerspace2 open roles

Pay
$165,000 – $175,000 a year
Where
United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data ScientistPeerspace · United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Peerspace's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.4% of postings close within 7 days. Measured by our own scanner across the market. Peerspace postings stay open a median of 27 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.4%7 days
  4. 15.5%14 days
  5. 33.8%30 days
This job: posted 34 days ago

Peerspace median: 27 days open

The posting

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.

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. 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 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. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.

Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. 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. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. 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. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at [email protected] so we can investigate. We only post our job openings and process applications, through our official careers page at https://jobs.lever.co/peerspace.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Peerspace's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Peerspace's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Peerspace's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.