Data Scientist

Partiful's mission is to cultivate friendships through social events.

We believe parties (and other social events) are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests — download the app to see how it works!

We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was also recently named Google’s Best App of 2024, a Finalist for Apple’s App Store Awards, and Apple’s App of the Day (awarded twice in 3 months).

We're looking for a business-oriented data scientist to help us unlock the full value of our data, supercharge our growth, and guide our product roadmap. You'll work closely with leadership, product, and marketing to help define meaningful metrics, guide product decisions with insights, and empower the team to use data confidently. This role sits at the intersection of business intelligence, product analytics, and data governance—helping to build systems and culture that make data more accessible and actionable for everyone.

We're an NY- based team with a hybrid in-person model, in the office 3 days a week. Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required).

What you'll do:

• Make key data decisions across the company

• Analyze large and complex datasets to derive actionable insights

• Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?)

• Collaborate closely the product team identify key benchmarks for new features, and analyze the performance of all aspects of the product

• Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth

• Own the data dictionary and support a culture of data literacy across teams

• Maintain the Amplitude taxonomy and ensure it’s reliable, documented, and intuitive

• Identify and execute on opportunities to improve our data infrastructure, processes, and tooling

• Provide regular updates and insights to help the company stay informed on progress towards our goals

What you'll bring:

• A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field

• 2-4 years of experience in data science or a related role

• Fluency in SQL and Python (Javascript a plus)

• Experience with machine learning frameworks and libraries

• Familiarity with data tools such as Amplitude, DBT and Hex

• Experience using data to drive business decisions; care about not just what the numbers say, but how we use them to make better decisions

• Experience communicating complex data findings in a clear and concise manner to non-technical stakeholders

• Ability to collaboratively with others

• User empathy

• Ability to elegantly structure and decomp complex data problems

• Comfort with ambiguity

• Pattern of taking initiative, working independently, and thriving in fast-moving environments

• Ability to put ego aside when making decisions

What we offer:

• 401(k) with up to 6% matching

• Comprehensive health, dental, and vision insurance for you and all your dependents (FSAs and HSA plans available)

• Free OneMedical membership, telehealth, and virtual mental health services

• Commuter benefits & contributions towards ClassPass and Citibike memberships

• Unlimited vacation (minimum 3 weeks required)

• Quarterly stipend to plan your own party and dogfood the product

• Semi-annual travel benefit & semiannual team off-sites

• Get invited to exclusive parties 🎉

In your application, please include a note on what's got you excited about Partiful! The compensation range for this role is $140,000-$160,000 depending on years of experience.

We're an equal-opportunity employer and strongly encourage applicants from traditionally underrepresented backgrounds to apply. We're proud to be a diverse team, and actively work to bring new perspectives to the table.