Staff Software, Engineering – Analytics Engineering, Core Data Science

2 hours, 40 minutes ago
Full-time
Lead
Software Development
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010

Description

  • Lead and mentor a diverse team of analytics engineers while fostering an inclusive, high-performance culture.
  • Develop instrumentation and experimentation best practices and communicate them to product engineering teams.
  • Build and prototype AI tools and analysis pipelines that deliver insights at scale.
  • Use AI to accelerate analysis, prototyping, documentation, and quality assurance while verifying accuracy and quality.
  • Partner with Data Scientists and Engineers to enable self-service access to datasets, insights, and metric investigations.
  • Document tools and datasets and drive data quality and democratization strategies.
  • Collaborate with product managers, engineers, designers, and researchers to turn insights into product experiences.

Requirements

  • 6+ years of experience working with data in a fast-paced, data-driven environment.
  • Fluency in SQL or another database language and Python or R, including nested data manipulation, window functions, query optimization, and data partitioning.
  • Experience orchestrating workflows and developing ETL/ELT pipelines for large, complex datasets with DAG dependencies.
  • Ability to scope open-ended goals into defined, impactful analytics objectives.
  • Experience partnering with cross-functional leaders and proactively managing opportunities amid competing priorities.
  • Demonstrated ability to use AI productively while testing, source-checking, validating data, and conducting peer review.
  • Strong integrity, ownership, sensitive-data protection, and accountability for final deliverables.
  • Bachelor’s, master’s, or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent experience.
  • Experience with automation, anomaly detection, workflow optimization, or internal tooling is preferred.
  • Ability to work in the office 1–2 times per month; the role is available anywhere in the country and does not include relocation assistance.

Benefits

  • Base salary range of $177,185–$364,795 USD for US-based applicants.
  • Equity eligibility.
  • Flexible work model with limited in-office collaboration requirements.
  • Inclusive and equitable workplace with accommodation support.
  • Equal employment opportunity commitment.

Interested in this position?

Apply directly on the company website

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