Senior Data Scientist – Machine Learning, AI

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Team Velocity

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

📣 Marketing

💼 Consulting

🚘 Automotive

Marketing • Consulting • Automotive

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.

📋 Description

• 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 of experience • Expert Python and SQL skills • Production machine learning experience • Predictive modeling experience • Model deployment experience • MLOps experience • Cloud experience • Proven ability to deliver measurable business impact through data science and machine learning • Strong communication, analytical, and business problem-solving skills • Experience with XGBoost, LightGBM, Random Forest, Neural Networks, and Deep Learning • Knowledge 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 • Experience 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. • Ability to support 8:30 AM–5:30 PM ET business hours • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus • 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 preferred

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) matching • Unlimited paid leave • Wellness programs