Senior Data Scientist, Applied ML

What You'll Do:

• Develop, train, and deploy models using real-world structured and unstructured data for threat detection, entity resolution, and risk scoring.
• Build preprocessing and feature engineering pipelines, and own model monitoring with feedback loops.
• Collaborate with software engineers and product managers to productionize models in cloud-native environments like AWS.

Requirements:

• 4+ years of experience building and shipping models in production with hands-on ownership of the data lifecycle.
• Strong background in applied math and machine learning, with proficiency in Python and libraries like PyTorch, TensorFlow, scikit-learn, and XGBoost.
• Experience building data/feature pipelines and deploying models into cloud environments.

Benefits:

• 401(k) with Employer Contribution, Health, Vision, and Dental Insurance, and Health Savings Account with Employer Contribution.
• Employer Paid Life, Short-term, and Long-term Disability Insurance.
• Generous PTO Plan and 16 paid holidays per year.