Company Description
TIDAL was founded for artists by artists as the next innovative streaming platform to bring value back to the music industry. We empower artists with the products, resources, services, and content required to take control of their careers and connect more deeply with fans. Available in over 60+ countries, TIDAL continues to help artists break down economic barriers to continue creating what's next in culture. TIDAL is part of Block, Inc. (NYSE: SQ), a global technology company with a focus on financial services.
Job Description
You will join the small but tight-knit TIDAL Data Science & Analytics team, and will report into the Head of Data Science & Analytics. As a member of the team, you will help shape the future of our streaming and artist products. You will use your expertise in product analytics, experimentation and statistical modeling to empower data-driven decision-making in the full lifecycle of this
product development. You will collaborate closely with a wide array of cross-functional partners across Product, Engineering, Design and Data Engineering to drive impact for our users and our business.
This role is remote-friendly and open to candidates based anywhere in the United States Eastern Time Zone.
You Will

• Work with cross-functional partners to translate business and product questions into analysis questions
• Provide actionable data-driven recommendations to inform strategic decisions
• Partner with engineering to ensure accurate and reliable logging for new product and features
• Develop deep domain expertise and own measurement strategy for product and develop KPIs to track product success
• Effectively communicate analysis and recommendations in verbal, visual and written form
• Lead the design, analysis, and interpretation of experiments that shape decision-making
• Develop and maintain curated analytics-friendly data sets using ETL
• Build effective and reliable self-serve dashboards

Qualifications
You Have

• 4+ years of data science experience
• A BS/BA in Math, Statistics, Computer Science, or a related technical field
• Ability to translate ambiguous, unstructured problems into applicable data-driven analyzes
• Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker, and
• Python)
• Exceptional written and verbal communication skills with the ability to explain technical data to a variety of stakeholders across the company
• Experience applying both statistical and machine-learning techniques to solve

practical product problems such as predicting churn, clustering user archetypes

• Experience with experimental design and solid understanding of statistics
• Experience building relationships to influence with product partners with data
• Creativity in developing new processes, analyses, and recommendations
• Familiarity with data warehouse design and best practices

Qualifications
You Have

• 4+ years of data science experience
• A BS/BA in Math, Statistics, Computer Science, or a related technical field
• Ability to translate ambiguous, unstructured problems into applicable data-driven analyzes
• Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker, and
• Python)
• Exceptional written and verbal communication skills with the ability to explain technical data to a variety of stakeholders across the company
• Experience applying both statistical and machine-learning techniques to solve

practical product problems such as predicting churn, clustering user archetypes

• Experience with experimental design and solid understanding of statistics
• Experience building relationships to influence with product partners with data
• Creativity in developing new processes, analyses, and recommendations
• Familiarity with data warehouse design and best practices