Senior Data Scientist

Join Our Community

At Crutchfield our innovative company culture is centered around helping our employees succeed while delivering best-in-class service to our customers. Were looking for a Senior Data Scientist to join our team based in either our Charlottesville location or in our Norton Virginia location. If you havent heard of us were a unique blend of things: an acclaimed national online retailer a family-owned business thats Virginia-based and a community-oriented group of consumer electronics short we sell fun stuff and love doing it! For the 3rd year in a row weve been named as one of the Best Places to Work by Virginia Business Magazine and Best Companies Group.

Position Overview:

Crutchfield is seeking a Senior Data Scientist to lead advanced analytics initiatives and embed datadriven decisionmaking into core business this role youll work across a diverse portfolio of production systems supporting marketing ecommerce logistics merchandising customer support and fraud prevention.

Projects span predictive modeling ranking and optimization timetoevent analysis and generative AI. The work ranges from classical highly interpretable models such as linear and logistic regression to modern ensemble methods learningtorank systems survival models and LLMpowered applications. At Crutchfield Senior Data Scientists play a key role not only in modeling but also in production deployment iteration and longterm model stewardship.

The ideal candidate brings strong technical skill intellectual curiosity and the ability to translate complex analysis into clear practical recommendations. Senior Data Scientists at Crutchfield are expected to take ownership of key modeling systems influence technical direction and help shape where data science delivers the most value.

As a Senior Data Scientist you will:

• Design develop and maintain productiongrade models including regression classification ranking optimization and timetoevent models
• Own endtoend modeling workflowsfrom problem formulation and feature engineering through deployment monitoring and iteration
• Work on a wide range of applied problems such as:
  • Paid search bidding
  • Fraud detection and order security
  • Customer targeting and marketing lift modeling (catalog email SMS)
  • Search ranking and recommendation systems for products accessories content and site navigation
  • Forecasting demand costs shipping timelines and delivery ETAs
  • Integrating large language models into backend workflows and customerfacing experiences
• Build and score models in batch nearrealtime and realtime contexts balancing latency performance and interpretability
• Leverage Pythonbased modeling tools (with some R) and SQL Server to extract transform and analyze complex datasets
• Collaborate closely with engineering product marketing logistics fraud and customer support teams to translate business needs into scalable analytical solutions
• Communicate model behavior assumptions and impact clearly to technical and nontechnical stakeholders
• Mentor junior data scientists and contribute to shared standards around modeling validation documentation and deployment

Qualifications

• Bachelors or Masters degree in Data Science Computer Science Statistics or a related field or equivalent experience of 10 years
• 5 years of experience building and deploying data science or advanced analytics solutions in production environments
• Strong proficiency in Python and SQL Server with experience working on large realworld datasets
• Demonstrated experience with predictive modeling machine learning and statistical techniques including both interpretable and advanced methods
• Comfort operating in ambiguous problem spaces and selecting the right level of modeling sophistication for the business problem
• Excellent analytical reasoning written communication and stakeholder collaboration skills
• Intellectual curiosity and a collaborative mindset

Preferred Skills

• Experience with learningtorank models and recommendation systems
• Experience with survival analysis and time to event modelling
• Handson experience deploying and maintaining models over time (MLOps monitoring retraining)
• Familiarity with Azure including Azure OpenAI or similar LLM platforms
• Experience incorporating LLMs into analytical or operational workflows

This position follows a hybrid work model with 3 days onsite each week and the remaining days remote. Candidates should be able to commute to our office regularly and collaborate in person with team members. All remote work must be done within the Commonwealth of Virginia. We are unable to offer sponsorship or relocation assistance for this position.

This full-time position comes with a comprehensive benefit package including two health insurance plans to choose from along with dental and vision insurance plan options. We also offer a competitive wellness program tuition reimbursement 401K retirement plan relaxed dress code and discounts on the fun stuff we sell.

All full-time employees are also offered: short-term disability insurance and long-term disability insurance options employer-paid life insurance and voluntary life insurance options including those for spouse and children. FSA and HSA options are also available. Ask us about these benefits in your interview - were glad to provide details!

For any questions or inquiries about this position please contact our recruiting team:

Peter Barcia

Malkam Martin

Crutchfield is an equal opportunity employer and we welcome applications from all suitably qualified persons regardless of their race color sex sexual orientation gender identity national origin ethnic origin religion/belief disability veteran status or age.

#Crutchfield