Senior Data Scientist at Pave: Join Our Mission to Make Compensation Fair

Why join Pave? At Pave, we are dedicated to the simple yet powerful mission of making compensation fair for everyone. We achieve this by developing the most advanced compensation platform, fueled by the planet's largest real-time compensation dataset. Join us to help companies like Hover, Sweetgreen, and Airtable build and retain top-tier teams by effectively planning, communicating, and benchmarking their compensation strategies in real-time.

We are rapidly growing and seeking dynamic team members who are eager to make an impact at our vibrant offices in San Francisco and New York City. If you thrive in an environment that values stretching the boundaries, intellectual honesty, and impactful work, we would love to hear from you!

Role: Senior Data Scientist, Market Data Team

As a Senior Data Scientist at Pave, you will play a crucial role in our Market Data Team. This team is instrumental in prototyping and developing new data products while enhancing existing ones. You will collaborate closely with Product Managers and market leaders to tap into user needs, partner with our Design team for early prototypes and explorations, and work alongside our Software Engineering team to transform these insights into high-quality, compelling products that resonate with users.

The ideal candidate is someone who is not only fascinated by data and its potential to solve problems but also passionate about designing and implementing innovative data solutions that are both technically robust and user-friendly.

Key Responsibilities:

• Develop and deploy machine learning models and advanced statistical analyses.
• Build data infrastructure to support scalability and innovation.
• Craft and evaluate performance metrics to refine product offerings continually.
• Communicate complex data insights to a diverse audience across the company.

Required Skills and Experience:

• Advanced degree in a quantitative field such as Computer Science, Engineering, or Economics.
• At least 4 years of experience in Data Science, preferably in a tech-focused environment.
• Expertise in SQL and statistical modeling tools (Python or R).
• Proven ability to translate business issues into data-driven solutions.
• Strong communication skills with a knack for explaining complex concepts in simple terms.

Nice-to-Have Skills:

• Experience with machine learning model evaluation.
• Proficiency in using transformation tools like dbt.
• A track record of developing customer-facing data products.

Why Pave Offers More Than Just a Paycheck

At Pave, we don't just offer competitive salaries (ranging from $174,250 to $205,000 USD). Our total rewards package includes equity, exceptional medical, dental, and vision care, commuter benefits, catered meals, unlimited PTO, and much more, with benefits tailored to different regions. We are committed to pay equity and performance-based compensation, ensuring our top performers are rewarded significantly.

Want to Know More?

We encourage you to apply even if you don't meet every single requirement. Discover more about our workplace, customer base, and your future team members by applying today!

Pave is dedicated to a diverse and inclusive workforce. We proudly uphold the equal opportunity principles and encourage individuals from all backgrounds to apply. Should you require accommodations, please reach out to [email protected].

Apply now to become a pivotal part of our mission here at Pave and change the world of compensation forever!