Senior Data Scientist – Machine Learning & AI at Team Velocity in Remote, Continental U.S., VA

Job description

• Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.
• This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.
• This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

Responsibilities

• Design, build, evaluate, and deploy production machine learning models.
• Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
• Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
• Build feature engineering, model training, and inference pipelines.
• Deploy and monitor ML models, including model performance, drift detection, and retraining.
• Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
• Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
• Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
• 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
• Proven ability to deliver measurable business impact through data science and machine learning.
• Strong communication, analytical, and business problem-solving skills.
• Expert Python and SQL skills.
• Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
• Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
• Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
• MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
• AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
• Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.
• *You do not need experience with every technology listed above. Strong production machine learning experience is the priority.
• Large-scale customer or behavioral data
• Marketing analytics, personalization, or customer intelligence
• SaaS, automotive, retail, advertising, or marketing technology
• Real-time inference or streaming data
• Production Generative AI applications

Skills

Required

• Python
• SQL
• Production machine learning
• Predictive modeling
• Model deployment
• MLOps
• Cloud
• Measurable business impact
• Strong communication
• Analytical skills
• Business problem-solving

Preferred

• Large-scale customer or behavioral data
• Real-time inference or streaming data
• Production Generative AI applications

Benefits

• The expected starting salary is $140,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.