Manager II, Engineering- Analytics Engineering, Core Data Science

3 hours, 21 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

  • Build, inspire, and grow a diverse analytics engineering team with an inclusive culture.
  • Develop instrumentation and experimentation best practices and communicate them to product engineering teams.
  • Build and prototype AI tools and scalable analysis pipelines while improving data structures and metrics.
  • Use AI to accelerate analysis, prototyping, documentation, and quality assurance with appropriate validation.
  • 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 data democratization strategies.
  • Collaborate with product managers, engineers, designers, and researchers to translate insights into product experiences.

Requirements

  • 6+ years of experience working with data in a fast-paced, data-driven environment, including experience managing engineers.
  • Strong SQL or database-language skills and proficiency in Python or R, including nested data, window functions, query optimization, and data partitioning.
  • Experience with workflow orchestration and ETL/ELT for complex, large-scale datasets and DAG dependencies.
  • Track record of delivering analytics solutions and turning open-ended goals into defined, impactful objectives.
  • Ability to collaborate with cross-functional leadership and proactively manage opportunities amid competing priorities.
  • Demonstrated ability to use AI effectively while testing, source-checking, validating data, and peer-reviewing AI-assisted work.
  • High integrity and ownership when handling sensitive data and making final decisions.
  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent experience.
  • Experience with automation, anomaly detection, infrastructure or workflow optimization, or internal engineering tools is preferred.

Benefits

  • Base salary range of $177,185–$364,795 USD for US-based applicants, depending on location and experience.
  • Equity eligibility.
  • Flexible remote work model with in-office collaboration required 1–2 times per month.
  • Position can be based anywhere in the country and is not eligible for relocation assistance.
  • Inclusive and equitable workplace with accommodation support during the application process.

Interested in this position?

Apply directly on the company website

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