DATA SCIENTIST - Partiful : Job Details

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 Googles Best App of 2024 , a Finalist for Apples App Store Awards , and Apples App of the Day (awarded twice in 3 months).

The Role

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 governancehelping to build systems and culture that make data more accessible and actionable for everyone.

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 its 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 Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or a related field

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

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

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.

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