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Mid LevelFull-timeRustMachine LearningData Science
Salary Range
$140,000 - $160,000 /year
About the Role
We are looking for a Data Scientist to join Angel Studios, a rapidly growing distributor of light-amplifying stories. You'll take ownership of understanding user engagement and behavior, building predictive models, and creating the data foundation that powers personalized discovery for millions of members.
Key Responsibilities
- →Turn user engagement and behavior data into insights and models that power personalized discovery
- →Decode user behavior at scale by analyzing engagement and behavior data
- →Build and train intelligent models to power recommendations, personalization, and content discovery
- →Create scalable data foundations by designing and building dbt models
- →Architect and prototype approaches for future recommendation algorithms
- →Define, refine, and communicate metrics that matter
Requirements
- ✓6+ years as a data scientist, machine learning engineer, or similar analytical role
- ✓Proven track record of building and deploying machine learning models in production
- ✓Strong foundation in statistical analysis, data modeling, and working with large-scale user engagement data
- ✓Exceptional ability to communicate insights effectively to both technical and non-technical stakeholders
- ✓Familiarity with modern data tools such as dbt, data warehousing, experimentation platforms, or BI tools
- ✓Domain knowledge in user engagement metrics, retention analysis, or content performance measurement is a plus
- ✓Summary Bullets
- ✓Turn user engagement data into actionable insights and models
- ✓Build predictive models for recommendations and personalization
- ✓Create scalable data foundations with dbt models
- ✓Architect future recommendation algorithms
- ✓Define and communicate key metrics
- ✓Collaborate with engineers and product teams
- ✓Improve how members discover and engage with content
- ✓Requirement Bullets
- ✓6+ years experience in data science or machine learning
- ✓Experience with recommendation systems or personalization algorithms
- ✓Strong statistical analysis and data modeling skills
- ✓Excellent communication skills for non-technical stakeholders
- ✓Familiarity with dbt, data warehousing, and BI tools
- ✓Domain knowledge in user engagement metrics
- ✓Ability to work with large-scale user engagement data
- ✓Benefit Bullets
- ✓[]
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