Data Scientist, Entry Level

We are seeking an Data Scientist to join our data infrastructure team and contribute to our competitive advantage through advanced analytics and machine learning. In this foundational role, you will work closely with senior team members to transform raw telemetry, sensor data, and operational information into actionable insights that fuel our Applied Technologies initiatives and support real-time decision-making for our racing teams.

Key Responsibilities

Data Analysis & Modeling

Develop and implement machine learning models to analyze operational and time series data
Create predictive models for vehicle performance optimization, race strategy, and operational efficiency
Perform statistical analysis and data mining on large-scale datasets
Build automated reporting systems and dashboards to communicate insights to racing teams

Data Processing & Pipeline Development

Support the development of data processing pipelines for real-time and batch analytics workloads
Assist in data validation, cleaning, and transformation processes to ensure data quality
Collaborate on ETL/ELT pipeline development using modern data processing frameworks
Help maintain data governance standards and documentation

Analytics & Visualization

Create interactive dashboards and visualizations to present complex data insights to technical and non-technical stakeholders
Develop time-series analysis for performance trends, vehicle dynamics, and operational metrics
Support race weekend analytics with real-time data processing and visualization
Generate analytical reports for Technical Director, Director of Competition, and race team personnel

Collaboration & Learning

Work closely with DevOps engineers, senior data scientists, and race teams
Participate in cross-functional projects with IT, Engineering, and Racing Operations teams
Contribute to the evaluation and integration of new analytical tools and technologies

Required Qualifications

Education & Experience

Bachelor's or Master's degree in Data Science, Machine Learning, Mechanical Engineering, Computer Science, Statistics, or related quantitative field
Strong academic project portfolio demonstrating practical application of data science techniques
Previous work experience (any industry) showing reliability, teamwork, and professional communication skills
Demonstrated experience with large dataset analysis and processing (academic or personal projects)

Technical Expertise

Computer Skills & Languages

Python: Proficiency in Python > 3.10 for data analysis, machine learning, and web application development
SQL: Strong SQL skills for database querying, data extraction, and analysis
CSS: Basic CSS knowledge for dashboard styling and web interface customization

Infrastructure & Tools

Version Control: Experience with GitHub for code management and collaboration
Cloud Platforms: Familiarity with Amazon Web Services (AWS) or equivalent cloud platforms
Containerization: Basic understanding of Docker, Docker-Compose, and Docker Desktop for development environments
APIs: General API usage experience for data integration and external service connectivity
Databases: Hands-on experience with PostgreSQL and TimescaleDB for time-series data management

Python Packages & Libraries

Data Manipulation: Proficiency in Pandas and NumPy for data analysis and processing
Visualization: Experience with Plotly for interactive visualizations and Dash for web application development
Web Requests: Familiarity with requests library for API interactions and data collection
Machine Learning: Hands-on experience with Scikit-Learn for traditional ML algorithms
Time Series: Experience with Prophet for forecasting and time series analysis
Deep Learning: Basic familiarity with PyTorch for neural network development (preferred)

Analytical & Problem-Solving Skills

Experience with supervised and unsupervised machine learning techniques
Understanding of time series analysis and forecasting methods
Ability to design experiments and A/B tests to validate hypotheses
Strong mathematical foundation in linear algebra, calculus, and statistics
Experience processing and analyzing large datasets (200+ GB scale preferred)

Location: Statesville, NC

Pay: Competitive, commensurate with experience

Please submit your resume to careers@legacymotorclub.com for consideration for this role.

LEGACY MOTOR CLUB is an equal opportunity employer and welcomes applications from individuals of all backgrounds. We are committed to creating a diverse and inclusive workplace where all employees can thrive.

No Recruiters, phone calls or in-person applicants.

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