Product Data Scientist, Passes
+ Equity
Web 3.0 platform for creators
Be an early applicant
Web 3.0 platform for creators
21-100 employees
Be an early applicant
+ Equity
21-100 employees
Company mission
To empower creators to scale their content, own their audiences, and make more money than they could anywhere else.
Role
Who you are
- The ideal candidate will have an extensive background in data analysis, analytics engineering, forecasting, and producing well designed machine learning models
- 6+ years of experience working in the data field
- Strong critical thinking and analytical skills, paired with excellent verbal and written communication skills. Candidate should be able to communicate highly technical concepts with non-technical stakeholders, and write clear and concise documents for a variety of audiences
- Experience and desire to work in a fast-paced environment, navigating ambiguity and achieving excellent outcomes
- Experience designing metrics, analyzing product funnels, A/B testing, and creating & optimizing ML pipelines
- Bachelor's degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience
- Experience with common data warehouse technologies including Redshift, Snowflake, Big Query, Athena, Spark, DBT
- Adept in various data visualization tools, designing dashboards for a variety of audiences
- Basic to intermediate programming skills in Python or R
What the job involves
- Passes is seeking a dynamic and experienced Data Scientist to cover product analytics and applications of advanced ML models across the business.
- This individual will be responsible for conducting analyses that inform the strategy and roadmap of the company’s product and business strategies.
- Product Analysis
- Design metrics aligned with product goals, create pipelines & dashboards to monitor them
- Experimentation design and analysis of A/B or multivariate tests
- Conduct deep dive analyses and provide insights into the behavior of creators and their fans
- Analytics Engineering
- Automate basic operational tasks
- Create ETL processes for data analysis
- Design & maintain data models to facilitate reporting & analytics
- Able to optimize data pipelines
- Monitor the performance and status of data jobs, proactively actioning potential issues
- Applied Data Science
- Experience designing high performance predictive models on tabular datasets
- Analyze large datasets to identify trends, patterns, and insights that inform recommendation strategies
- Collaborate with product, engineering, and design teams to integrate recommendation systems into applications
- [Plus] Design, implement, and evaluate basic recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid methods
Our take
Traditionally, nearly all media was created and controlled by a few central organizations. Then, the internet came along and platforms like YouTube and Facebook democratized content creation while controlling distribution. Now, with the advent of blockchain technologies, Passes is attempting to decentralize power to the creators themselves.
The company delivers a Web 3.0 platform for creators to scale their content and own their audiences. In theory, this should be a dream for creators and consumers alike. However, so far Web 3.0 platforms have found that in practice it is difficult to onboard users.
Passes must ensure that its platform is easy to use and has competitive capabilities if it is to see good adoption levels. Its acquisition of rival monetization platform Fanhouse was a step in the right direction. And a strong Series A funding round will be used to grow its team and add additional creator revenue streams to the platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Company benefits
- Flexible work hours, with the option to work in-person at NYC or Miami offices
- The chance to work on a world-class team of former founders and engineers who have scaled companies to >$7.5b in value
- Equity and token allocation
- Unlimited PTO
- 401k & top-tier health insurance benefits (equivalent to Big Tech companies coverage for Medical, Dental & Vision)
- Occasional paid travel costs to events and off-sites
Company HQ
Brickell, Miami, FL
Articles
Leadership
Lucy Guo
(CEO)Current Founder and General Partner of Backend Capital, an early-stage fund focused on backing engineers. Previously co-founded Scale AI (Y Combinator S16) and was a product designer at Quora and Snapchat.
Salary benchmarks
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