EDO

👥 101-250💰 $80,000,000 Private almost 3 years agoBig DataMedia and EntertainmentAnalytics💼 Private Company
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EDO is a leading data, measurement, and analytics company empowering the advertising industry to maximize the impact of its media investments. We provide a cutting-edge measurement platform, Ad EnGage, that connects TV airings across linear and streaming platforms to consumer behaviors predictive of sales. Our platform leverages immediate engagement signals, world-class decision science, and vertical AI to deliver syndicated, investment-grade data that aligns media spend with demonstrable business results. We work with all major movie studios and many major TV networks, providing detailed competitive, category, and historical insights to guide critical advertising decisions. EDO's engineering team utilizes a robust and modern tech stack, including Python, DBT, Snowflake, and Polars, to process and analyze massive datasets (trillions of rows and hundreds of TB of data). We value strong software engineering practices, emphasizing performance optimization, efficient data processing, and rigorous testing. We foster a collaborative environment where engineers are empowered to identify and solve performance bottlenecks across our modeling pipelines. Our remote-friendly work environment allows us to attract top talent nationwide. With significant funding and a strong growth trajectory, EDO offers a competitive compensation package, including mid-stage equity, flexible time off, comprehensive benefits, and a commitment to fostering a diverse and inclusive workplace. We are proud of our work and the impact we have on the advertising industry. We are a growing company with a supportive team-oriented culture where collaboration is key. EDO's commitment to innovation and data-driven insights positions us as a leader in the ever-evolving media landscape. We're seeking talented and passionate individuals to join our team and help us continue shaping the future of television advertising measurement.

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📍 United States

🧭 Full-Time

💸 130000.0 - 180000.0 USD per year

🔍 Advertising and Data Analytics

  • A minimum of 5 years of machine learning engineering, software engineering, or data science experience.
  • At least 3 years of development/maintenance of machine learning tools or systems.
  • Self-driven individual capable of owning projects and communicating across technical teams.
  • Strong knowledge of columnar databases (Snowflake, Redshift) and high-performance data processing in Python (Polars, DuckDB).
  • Strong proficiency with Python, especially memory and CPU profiling.
  • Strong proficiency in SQL, with query optimization skills.
  • Identify performance bottlenecks in Snowflake queries and tune modeling code or work with data engineering teams for efficient reads.
  • Identify memory inefficiencies in Python code and rewrite more efficiently.
  • Address processing inefficiencies in data processing, modeling, and scoring code.
  • Optimize or migrate inefficient Pandas operations.
  • Diagnose out-of-memory errors in modeling pipelines.
  • Develop profiling test suites to detect performance regressions.

PythonSQLMachine LearningSnowflake

Posted 2 months ago
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