
201 - 500 employees
Founded 2005
🤝 B2B
🛍️ eCommerce
Automotive • B2B • eCommerce
Team Velocity is a leading marketing technology provider specializing in the automotive industry. Their platform, Apollo Ads, integrates intelligent marketing technology that allows automotive dealers to effectively advertise their vehicles and engage consumers throughout the ownership lifecycle. By providing personalized, payment-driven offers and seamless online experiences, Team Velocity empowers dealerships to enhance customer loyalty and increase sales, service retention, and trade-ins.
🔥 1 minute ago
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201 - 500 employees
Founded 2005
🤝 B2B
🛍️ eCommerce
Automotive • B2B • eCommerce
Team Velocity is a leading marketing technology provider specializing in the automotive industry. Their platform, Apollo Ads, integrates intelligent marketing technology that allows automotive dealers to effectively advertise their vehicles and engage consumers throughout the ownership lifecycle. By providing personalized, payment-driven offers and seamless online experiences, Team Velocity empowers dealerships to enhance customer loyalty and increase sales, service retention, and trade-ins.
• Design, build, train, evaluate, and deploy machine learning models. • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution. • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. • Build feature engineering and model training pipelines. • Deploy and monitor production ML models, including model drift detection and retraining. • Collaborate with Product, Engineering, Analytics, and executive leadership. • Mentor junior data scientists and establish best practices.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field, Master's or PhD preferred • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact • Expert Python and SQL • Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference • Snowflake, Matillion, dbt, Pandas, Spark, Airflow • Google Cloud (preferred), AWS, or Azure • MLOps: MLflow, Kubeflow, Vertex AI • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases
• medical • dental • vision • unlimited paid leave • 401(k) matching • wellness
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