[Remote] Senior Data Scientist and Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. The Hidden Jams is a nonprofit dedicated to helping music fans discover hidden songs while supporting artists. They are seeking a self-motivated Senior Data Scientist & Analytics Engineer to manage their data insights pipeline and analytical framework, ensuring algorithmic accuracy and data integrity for their core product experience.

Responsibilities

• Pipeline Integrity & Modeling: Own the analytical data layers and transformation pipelines (e.g., dbt) that feed our product. Ensure that upstream event telemetry is clean, reliable, and perfectly modeled for consumption
• Algorithmic Refinement: Partner closely with Engineering and Product teams to validate, iterate, and optimize our ranking and recommendation systems
• Behavioral Simulations: Build and run predictive user-experience simulations and cohort analyses to understand platform stickiness, feature adoption, and user journeys
• Catalog Architecture: Advise on best practices for our extensive asset catalog metadata (creators, content, and taxonomies), ensuring data structures support optimal discovery and search performance
• Data Aggregation: Build and maintain the ingestion pathways to normalize disparate marketing, ad platform, and web attribution sources
• Unified Attribution: Map top-of-funnel acquisition data directly to on-platform behavioral data, giving the business an accurate, unified view of LTV, CAC, and campaign effectiveness
• Modern BI Infrastructure: Move the business away from our current reporting tools by establishing a robust, scalable analytics layer that serves as the single source of truth
• Web & Event Telemetry: Standardize clickstream and session tracking across the platform, ensuring clean event schemas and dependable data layers

Skills

• 5+ years of experience in an analytical engineering, data science, or pipeline-heavy product analytics role
• Experience within a high-growth B2C digital platform, streaming service, or digital marketplace
• Deep experience designing, testing, and maintaining analytics pipelines
• Strong opinions on data warehousing architecture, schema-on-write vs. schema-on-read, and data quality enforcement
• Advanced, production-grade SQL and experience with modern transformation frameworks (e.g., dbt)
• Proficiency in Python or R for statistical modeling, simulations, and data engineering tasks
• Hands-on experience with event-driven telemetry frameworks
• A strong understanding of digital media services, content discovery engines, or heavy catalog metadata systems
• The ability to speak the language of infrastructure engineers when discussing data pipelines
• The ability to seamlessly translate complex data anomalies into strategic insights for business leaders

Benefits

• The autonomy to design and own the data analytics infrastructure of a rapidly evolving digital platform from the ground up.
• A high-impact environment working alongside a seasoned engineering and leadership teams.

Company Overview