Data Scientist

Data Scientist

Location: San Francisco, CA

Work Model: Hybrid

Employment Type: Full-Time

Industry: Automotive / EV / AI / Technology

As a Data Scientist, you will work closely with Product, Engineering, Operations, and business teams to analyze complex datasets, develop predictive models, identify trends, and build 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 → modeling → experimentation → business impact.

What You’ll Do

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with PyTorch or TensorFlow.
• Experience with forecasting, recommendation systems, optimization, NLP, or time-series modeling.
• Experience with cloud data platforms such as Snowflake, BigQuery, or AWS.
• Experience with Spark or distributed data processing.
• Experience working with production ML systems or MLOps.
• Experience in automotive, mobility, e-commerce, marketplace, fintech, or other high-volume transactional environments.
• Startup experience with high ownership and rapidly changing priorities.

What We’re Looking For

• 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.