Senior Data Scientist – Machine Learning, AI

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

📋 Description

• Design, develop, assess, and implement production machine learning models

• Create predictive models for customer churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution

• Conduct statistical analyses, hypothesis testing, A/B testing, causal inference, and time-series analysis

• Construct feature engineering, model training, and inference pipelines

• Deploy and monitor machine learning models, focusing on model performance, drift detection, and retraining

• Utilize Generative AI, LLMs, RAG, and vector databases for business and customer applications

• Collaborate with Product, Engineering, Analytics, and leadership to convert business challenges into scalable data science solutions

• Guide junior data scientists and promote best practices for model development, documentation, and code quality

⛳️ Requirements

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

• Over 5 years of relevant experience

• Proficient in Python and SQL

• Experience with production machine learning

• Background in predictive modeling

• Familiarity with model deployment

• Knowledge of MLOps

• Experience with cloud platforms

• Demonstrated ability to achieve measurable business outcomes through data science and machine learning

• Strong capabilities in communication, analytical thinking, and business problem-solving

• Experience with XGBoost, LightGBM, Random Forest, Neural Networks, and Deep Learning

• Understanding of regression, Bayesian methods, hypothesis testing, experimental design, causal inference, and time series

• Experience with Snowflake, dbt, Spark, and Airflow; GCP preferred, AWS or Azure considered

• Familiarity with MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, and model monitoring

• Experience with OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, and vector databases

• Candidates must reside in the Continental U.S.

• Availability to support business hours from 8:30 AM to 5:30 PM ET

• Experience with data quality and observability tools such as Great Expectations or Monte Carlo is advantageous

• Preferred experience with large-scale customer or behavioral data, marketing analytics, personalization, customer intelligence, SaaS, automotive, retail, advertising, marketing technology, real-time inference, streaming data, or production Generative AI applications

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) matching

• Unlimited paid leave

• Wellness programs