Senior Data Scientist – Machine Learning & AI
Remote | Full-Time | $140,000
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., eastern and central time zones highly preferred, but all welcome to apply who can support 8:30 AM–5:30 PM (eastern) business hours.
KEY 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.
TECHNICAL EXPERIENCE
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
COMPENSATION & BENEFITS The expected 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.
NEXT STEPS
If you are interested in this position and believe your experience is a perfect fit, please SUBMIT a current resume and contact information. Please note, given the overwhelming applicant response to our post the recruiting team is only able to reach out to applicants who are selected to move forward. If you are selected, one of our Talent Managers will reach out to you within 7-10 business days from your submission.
Thank you, and best of luck!
About Team Velocity
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. Join us in applying
data science, machine learning, and AI to real-world business problems at scale.