Note: The job is a remote job and is open to candidates in USA. Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. The company 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. The role involves taking models from exploration and development through production deployment, monitoring, and optimization while partnering with cross-functional teams and mentoring junior data scientists.
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
Skills
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field
- 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
- MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
- AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
- 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
- Master's or PhD preferred
- GCP preferred; AWS or Azure considered
- Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus
- 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
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Unlimited paid leave
- Wellness programs
- Remote work arrangement
Company Overview
Company H1B Sponsorship