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Staff Data Scientist, Square Sales & Partnerships

Staff Data Scientist, Square Sales & Partnerships

Block IncSan Francisco, CA, United States
14 hours ago
Job type
  • Full-time
Job description

Staff Data Scientist, Square Sales & Partnerships

Block is a company built from many blocks, all united by the purpose of economic empowerment. The foundational teams People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more provide support and guidance at the corporate level, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Role

Youll be joining Squares Sales & Partnerships Analytics & Data Science teamour mission is to unlock revenue opportunities through insightful analytics, robust reporting, and scalable data products for our Sales and GTM (Go-To-Market) Operations partners. We sit within the broader GTM Data Science, Analytics, and Machine Learning organization at Block, and we support functions across Sales, Marketing, and Partnerships.

Our team blends business analytics, data science, and AI / Automation to transform sales and partnership data into actionable insights that drive business growth, scale strategic programs, and improve partner experiences. This role can be performed from any location in the US with the flexibility to work from home.

You Will

  • Own the metrics, data, and insight generation to optimize our partner relationships, from defining success in the relationship to helping locate new partners to work with.
  • Own and automate the end-to-end partnership payout processes, ensuring scalability and data quality as the program expands to include 3rd?party and international partners.
  • Build AI?driven tools that enable partner and sales stakeholders to self?serve analytics, enhancing efficiency and reducing manual dependencies.
  • Collaborate cross?functionally with stakeholders in Partnerships, Sales, Marketing, and Finance to :

Deliver performance insights on key partner programs.

  • Prioritize growth opportunities and scale new programs.
  • Build strategic dashboards and pipelines to support business decisions.
  • Lead the development of scalable infrastructure, including restructuring legacy ETL jobs and pipelines to ensure long?term sustainability.
  • Foster a culture of experimentation and innovation, helping elevate analytics practices and storytelling across the broader GTM data organization.
  • Serve as a technical thought leader and mentor, helping define standards for data science excellence.
  • You Have

  • 10+ years experience in data science, analytics, or consulting.
  • Bachelors degree in a quantitative field (e.g., Statistics, Economics, Engineering).
  • Advanced proficiency in SQL, with hands?on experience using tools like dbt and Airflow.
  • Experience building self?serve dashboards (Looker, Tableau, or similar).
  • Strong statistical knowledge and applied experience.
  • Proficiency in Python coding paired with an understanding of machine learning and modeling concepts and applications.
  • Expert?level storytelling and visualization skillsable to drive strategy through insights.
  • Excellent project management and communication skills; comfortable leading cross?functional initiatives.
  • Block is an equal?opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

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    Staff Data Scientist • San Francisco, CA, United States

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