Senior Data Scientist, US

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Requirements:

• 4+ years of relevant experience in data science, analytics, or related fields.
• Degree in Statistics, Mathematics, Computer Science, or related field.
• Proficiency with Python, SQL, Spark, Bazel, CLI (Bash/Zsh).
• Expertise in Spark, Presto, Airflow, Docker, Kafka, Jupyter.
• Strong knowledge of ML frameworks (scikit-learn, pandas, xgboost, lightgbm).
• Experience deploying models to production on AWS infrastructure and experience with the basic AWS services.
• Advanced statistical knowledge (regression, A/B testing, Multi-Armed Bandits, time-series anomaly detection).

Responsibilities:

• Collaborate with stakeholders to identify data-driven business opportunities.
• Perform data mining, analytics, and predictive modeling to optimize business outcomes.
• Conduct extensive research and evaluate innovative approaches for new product initiatives.
• Develop, deploy, and monitor custom models and algorithms.
• Deliver end-to-end production-ready solutions through close collaboration with engineering and product teams.
• Identify opportunities to measure and monitor key performance metrics, assessing the effectiveness of existing ML-based products.
• Serve as a cross-functional advisor, proposing innovative solutions and guiding product and engineering teams toward the best approaches.
• Anticipate and clearly articulate potential risks in ML-driven products.
• Effectively integrate solutions into existing engineering infrastructure.