Why join Pave?
At Pave, our vision is simple - Make Compensation Fair.
How are we going to get there? By building the most intelligent compensation platform, powered by the largest real-time compensation dataset on earth.
We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time. And you don’t have to just hear it from us — you can hear it from our customers: Hover, Sweetgreen, Airtable and more.
We’re growing fast, building an incredible team and product, and having plenty of fun as we do it in our San Francisco and New York City offices.
If stretching the rubber band, building with intellectual honesty and focusing on impact sounds exciting - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!
Data Science @ Pave
Data is truly at the heart of what we do here at Pave. So, it’s no surprise that Pave Data Scientists are integral collaborators and strategic owners with company-wide impact. Our team members build data infrastructure, create and deploy ML models, define and evaluate metrics, and help create the tools our customers use to understand our unique data set.
How you'll contribute:
We’re looking for a Senior Data Scientist to join our Market Data Team. The Market Data Teams prototypes and builds brand new data products, as well as leveraging data to improve our existing ones. You’ll partner with Product Managers and go-to-market leaders to understand user needs, partner with Design to create early prototypes and explorations, then work with our Software Engineering team to scale your insights into high quality, compelling user-facing products.
The ideal fit for this role is someone who enjoys creating and innovating with data, is passionate about metrics and methods, and who is able to balance the need for technical complexity with user-facing simplicity. This person has a deep technical toolkit, but also knows that the highest value data products are not always the most complex.
Required skills and experience:
- Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research, social science, computer science, engineering, mathematics, economics, etc.
- 4+ years of experience in a Data Science role, preferably at a technology company.
- Expert data manipulation skills with a proficiency in SQL.
- Expert in statistical modeling with Python or R (e.g., clustering, regression, time series, Bayesian statistics).
- Strong data intuition and creativity: you are able to design creative, useful, and accurate metrics, and have strong intuitions about where metrics go wrong.
- Strong analytical problem solving skills: you have the ability to translate qualitative business questions into quantitative solutions.
- Product- and business-minded: you enjoy using data to solve user pain points and business problems.
- Strong ability to communicate technical outcomes to cross-functional audiences.
- Ability to navigate (and bring structure to) ambiguity, with the ability to bring a project from 0 to 1.
Nice to haves:
(But not required!)
- Experience evaluating the performance of ML models (not that this is not an ML-specific role, but you will work closely with ML Engineers).
- Experience with data transformations using dbt.
- Experience building customer-facing data products.
- Experience working with product managers, engineers, and/or designers.
A final note — we highly encourage you to apply for this role, even if you don’t feel entirely qualified, or entirely sure. You never know!
This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.
Our Compensation Philosophy
Pave’s compensation philosophy is to target the 75th percentile of the market for both cash and equity at your job level. This means that the “mid point” of every band at Pave is the 75th percentile of the broader market.
Pave also has a merit-based philosophy when it comes to compensation increases. We run a performance cycle twice per year to evaluate employees’ performance. Higher than average performance ratings result in compensation increases to the upper end of the individual’s compensation range for their role. The result is that high performers at Pave are paid above the 75th percentile of the market at large.
Pave is committed to pay equity. If you get an offer from Pave, it will be based on your level as determined by your interview performance. And nothing else. We explicitly do not negotiate salary and equity to ensure that we aren’t introducing bias that could lead to pay inequities within the team between candidates who have different negotiation tactics.
How big is Pave today?
We were founded in late 2019, and have grown to 160 employees across San Francisco, New York and the UK.
Where are the Pave offices?
What do employee benefits at Pave look like?
As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a monthly L&D stipend. We take our snacking seriously - employees receive catered lunch, dinner and many fun snacks throughout the day.
Who are some of Pave’s customers?
Pave is working with 5,500+ companies today, including some of the best technology logos out there like Credit Karma, RO, Faire, Dropbox, Airtable, Sweetgreen, Checkr, Hubspot, Snackpass, Attentive and more!
What can I expect in interviewing at Pave?
At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers and cross-functional partners. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 7 days of application, as well as within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 1 week. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!
More Questions? Check out our candidate resources page!
Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email firstname.lastname@example.org.