Senior Product Data Scientist

About Pave

At Pave, we believe the world of compensation is broken, and we’re going to fix it. Today, teams cobble together hundreds of messy spreadsheets and outdated surveys to determine how to compensate their employees. At best, they’re leveraging stale data from an industry that is quickly evolving past it. Add COVID, a new remote and distributed workforce, and you have an even blurrier picture of what “market compensation” is, how it’s evolving, and how to communicate it to employees.

That’s where we come in. Pave allows companies to benchmark compensation to leaders in their industry, analyze internal compensation data and make the right adjustments, then visually communicate compensation to their employees.  We’re building the world’s largest real-time compensation data platform on the path to help employers and employees navigate the murky world of compensation with clarity, equity, and accessibility. And you don’t have to just hear it from us — you can hear it from our customers: Allbirds, Hover, Shopify, Discord and more.

Our Team

The mission of the Product Data Science team at Pave is to serve as the core optimization engine for the company. We build data infrastructure, define and evaluate metrics of success, derive actionable insights, and build predictive models to enable a culture of data driven decision making and optimize every aspect of our business.

Your Primary Focus

• Be a core member of a product or operations team, driving the long term roadmap of Pave.

• Translate qualitative business problems into clear, quantitative problems that can be measured and evaluated.

• Derive actionable insights into the core product and operational models that Pave has today to ensure that Pave can scale to its fullest potential for years to come.

• Build a culture of data driven decision making to optimize Pave for long term growth.

• Build a Data Science team from the ground up, helping to define, process, platforms, and tools that will scale with Pave's exponential growth.

About You

• Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research, computer science, engineering, mathematics, economics, etc.
• 2+ years of experience in a Data Science or Analytics role.
• Exceptional data manipulation skills with a proficiency in SQL.
• Proficiency in statistical modeling with R or Python.
• Strong analytical problem solving skills. The ability to translate qualitative business questions into quantitative solutions.
• Strong ability to communicate technical outcomes to audiences of differing technical abilities.

Salary Range

Pave’s salary range for this position is $166,000 - $215,000 USD per year. 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. 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.

Our Mission

🎉 Make compensation open, transparent, and fair.

Our Values

💡Be Intellectually Honest

☀️ Be Transparent

🔥 Bring Your Fire

⏰ Focus On Impact

🤗 Hug Of Jawn

💪 Stretch The Rubber Band

 

Life at Pave

Pave is growing incredibly fast, and we have high ambition. We've complemented our ambitious goals with a world-class culture and a variety of amazing benefits. Some of these include:

Compensation: Competitive salary and startup equity for full-time employees

Wellness: Top tier health insurance along for full-time employees

Food: All meals while working, plus snacks. We take our snacking seriously

Commute: Commuter pre-tax benefit accounts + employer contribution for full-time employees

Tech: Choose your laptop and accessories of choice

Team: Retreats, happy hours, and events for our team, friends, and family

Flexible Time Off: Take the time you need - we encourage our team to unplug with unlimited PTO

WFH Wednesday: A dedicated work from home day each week + additional flexibility by team!

Location: Our company HQ is in San Francisco's FiDi with a high energy in-person culture. We also have a hub in NYC!

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 [recruiting at pave]

 

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!

 

#LI-Onsite

 

Company Size: 51 - 250 People

Year Founded: 2019

Country: United States