ML Model Optimization Expert
6 days ago
adMarketplace has been named one of the best places to work in New York City by Built In and Crain's for three consecutive years. We pride ourselves on our collaborative environment, continued education programs, and commitment to employee growth and development.
As a Data Scientist at adMarketplace, you will have the opportunity to work on challenging projects, collaborate with talented engineers and data scientists, and contribute to the development of cutting-edge ML solutions. You will also enjoy a competitive compensation package, including an estimated salary range of $130,000 - $170,000.
Key Responsibilities- Model Development and Maintenance: Develop and maintain dashboards, alerts, and reports to continuously monitor model accuracy, yield lift, and key KPIs across multiple placements and segments.
- Performance Regression Identification: Proactively identify performance regressions, model drifts, or data quality issues that may affect stability, accuracy, or latency.
- Collaboration and Iteration: Work with ML engineers and data scientists to iterate on model architectures, retraining schedules, and feature sets to ensure ongoing alignment with business goals.
- PhD or MS with 5+ years of experience: A PhD or an MS with 5+ years of experience in a quantitative field (e.g., Computer Science, Statistics, Operations Research, or related) or equivalent industry experience in large-scale ML projects.
- Large-Scale ML Experience: 5+ years of experience working with large-scale ML systems in production, including hands-on experience with ML Ops frameworks and monitoring solutions.
- Technical Skills: Proficiency in Python and SQL, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as well as distributed processing tools (e.g., Spark, Hadoop).
- Excellent Communication: Excellent communication skills and the ability to work effectively in cross-functional teams, bridging gaps between ML, data engineering, product, and operations.
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