A data, measurement, and analytics company advancing the success of marketing, research and creative professionals.
July 10
🔄 Hybrid – Manhattan
A data, measurement, and analytics company advancing the success of marketing, research and creative professionals.
• Migrate components of our existing modeling frameworks from batch-oriented to continuous training and monitoring • Diagnose issues with legacy models and pipelines and decide what to maintain as-is, what to rebuild, and what to replace with alternatives • Expand our collection of internal modeling building blocks • Lead large, high-priority, cross-functional, strategic projects, driving multiple decisions that have significant impact
• Experience with MLOps, especially with continuous model training and monitoring • 4-6 years of overall development experience • 3+ years of Python experience writing clean, reusable code used by Data Scientists or deployed in production systems • Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily) • Expert level experience with a variety of modeling techniques, preferably both more traditional methods like GBMs and regressions plus some experience with deep neural networks
• Mid-stage equity and competitive salary • Flexible Time Off • Medical, dental and vision coverage, deeply discounted by EDO • 401(k) plan, FSA, HSA • Commuter Benefits • When in an office, employee meals, snacks, and more
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