About This Role
Working closely with Product, Engineering, Operations, and business teams, the Data Scientist analyzes complex datasets, develops predictive models, identifies trends, and builds data-driven solutions that improve Ever’s automotive retail platform. This role is ideal for someone who enjoys working in a fast-moving startup environment and can take a problem from data exploration to modeling, experimentation, and business impact.
Responsibilities
- Analyze customer, vehicle, marketplace, sales, pricing, and operational data to identify trends and opportunities
- Develop and deploy statistical and machine-learning models for business and product use cases
- Build predictive models for areas such as customer behavior, vehicle pricing, inventory, demand forecasting, lead conversion, and sales performance
- Perform exploratory data analysis and develop meaningful KPIs and metrics
- Design and analyze A/B tests and other experiments
- Build forecasting, classification, regression, clustering, and recommendation models where appropriate
- Collaborate with engineers to productionize machine-learning models and data products
- Work with Product and Operations teams to translate business problems into measurable analytical solutions
- Create dashboards, reports, and data visualizations that communicate findings clearly
- Monitor model performance and continuously improve model accuracy and reliability
- Work with large and complex datasets using SQL and Python
- Contribute to Ever’s broader AI and data strategy
Requirements
- 3+ years of experience in Data Science, Machine Learning, Applied Statistics, or a related field
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with machine-learning libraries such as scikit-learn, pandas, NumPy, or equivalent
- Strong understanding of statistics, probability, regression, classification, and experimental design
- Experience building and evaluating predictive models
- Experience working with large datasets and data pipelines
- Strong analytical and problem-solving skills
- Ability to communicate technical findings clearly to non-technical stakeholders
- Experience working cross-functionally with Product, Engineering, or Operations teams
- Strong ownership and ability to work independently
- A practical, business-oriented approach to Data Science
- Curiosity about AI, machine learning, and emerging technologies
- Ability to move quickly from analysis to implementation
- Strong communication and collaboration skills
- Comfort working in an ambiguous, fast-paced startup environment
