Data Scientist - Machine Learning & AI

• 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.

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., * 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.

Preferred Experience

• 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

The expected salary range is $160,000-$190,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

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., Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.