Senior 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 Today, teams cobble together hundreds of messy spreadsheets and outdated surveys to determine how to compensate their employees.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, Sweetgreen, Discord and more.

Our team

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, define and evaluate metrics of success for product and business operations, derive actionable insights, and build ML models used in production.

Some of our team members more fully support our product team, running product analytics, building Looker dashboards and defining North Star metrics for our product, examining data quality and coverage in BigQuery, and partnering with our go to market teams to understand and define success. Other team members do more pipeline building and machine learning work, partnering with our Engineering and Design teams to build high quality customer-facing data products. Some team members do a little bit of both! If any of these types of work interest you, we highly encourage you to apply.

Required skills and experience

• Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research or social science, computer science, engineering, mathematics, economics, etc.
• 4+ years of experience in a Data Science role, preferably at a technology company.
• 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 cross-functional audiences.
• Ability to navigate (and bring structure to) ambiguity; ability to bring a problem from 0 to 1

Nice to haves 

(But not required!)

• Experience designing and evaluating ML models
• 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!

Salary Range

Pave’s salary range for this position is $153,000 - $230,000 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 Fair.

We are doing this by building the most intelligent compensation platform, powered by the largest real-time compensation dataset on earth. 

Our Values

💡Be Intellectually Honest

☀️ Be Transparent

🔥 Bring Your Fire

⏰ Focus On Impact

🤗 Hug Of Jawn

💪 Stretch The Rubber Band

Life at Pave

We’re growing fast, building an incredible team and culture, and having plenty of fun as we do it. Our numerous benefits are thoughtfully selected to support and empower our team every single day.

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 and dinner, as well as many fun snacks.

We have high energy in-person culture, and enjoy collaborating with our teammates live! We have a dedicated work from home day each week on Wednesday, additional flexibility by team, and plenty of commuter benefits to enjoy. Join us for retreats, events, and happy hours with our team, friends, and family. Additionally, we encourage our team to unplug with unlimited PTO.

Our company HQ is in San Francisco's Financial district and our New York City office is located in Union Square.

_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.

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!