Senior Data Scientist

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Design, construct, train, assess, and implement machine learning models.

• Create predictive models for churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.

• Conduct statistical analyses, hypothesis testing, causal inference, and A/B testing evaluations.

• Develop feature engineering and model training workflows.

• Implement and oversee production ML models, including monitoring for model drift and retraining as needed.

• Work collaboratively with Product, Engineering, Analytics, and senior leadership teams.

• Guide junior data scientists and promote best practices.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline; a Master's or PhD is preferred.

• Over 5 years of experience in constructing and deploying production ML systems, demonstrating a history of measurable business impact.

• Proficiency in Python and SQL.

• Expertise in Machine Learning techniques including XGBoost, LightGBM, Random Forests, Neural Networks, and Deep Learning.

• Strong foundation in Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series analysis, and causal inference.

• Familiarity with tools such as Snowflake, Matillion, dbt, Pandas, Spark, and Airflow.

• Experience with Google Cloud (preferred), AWS, or Azure.

• Knowledge of MLOps tools including MLflow, Kubeflow, and Vertex AI.

• Understanding of data quality and observability frameworks like Great Expectations and Monte Carlo.

• Familiarity with LLMs and AI technologies such as OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, and vector databases.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Unlimited paid leave

• 401(k) matching

• Wellness programs