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Full Time Remote Ferrari Store Jobs (NOW HIRING)

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Design and operate large feature store fleets that provide low-latency access to real-time and ... This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA ...

S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours (flexibility ... WooCommerce store builds and customization * Custom plugin development * SEO knowledge (technical ...

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This is a full-time, remote position. Key Responsibilities * Build and maintain features for our ... Warriors home tickets, team store discount and more! Pursuant to the San Francisco Fair Chance ...

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This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Warriors home tickets, team store discount and more! Pursuant to the San Francisco Fair Chance ...

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How much do full time remote ferrari store jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for full time remote ferrari store in the United States is $22.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $26.68 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Remote Ferrari Store jobs?

The most popular types of Remote Ferrari Store jobs are:

Infographic showing various Full Time Remote Ferrari Store job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $47,574 per year, or $22.9 per hour.

Senior Data Scientist - Machine Learning & AI

VA โ€ข Remote

Team Velocity
Internet and ITย โ€ขย 201 - 500 employees

$140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time |

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. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

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 starting 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 meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

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.