Data Scientist

The Data Scientist role focuses on partnering with business stakeholders to identify opportunities where machine learning and analytics can support data-driven decision-making across a variety of customer-focused use cases. This role is central to data exploration, insight generation, agile model development, and translating results into clear, actionable recommendations for non-technical audiences.

Data Scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive, and creative, with a strong desire to solve real-world problems using data.

As a Data Scientist, You Will:

Collaborate with business stakeholders to identify high-impact opportunities for analytics and machine learning use cases

Translate business questions into analytical problems and develop models to support personalization, journey orchestration, loyalty, customer lifetime value, and customer segmentation

Design and implement test-and-learn frameworks to measure the impact of data-driven initiatives

Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage

Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, and neural networks

Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling

Contribute to the maintenance of models in production environments, ensuring scalability and performance

Conduct peer code reviews and support best practices in model development and deployment

Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics)

3+ years of experience in data science, analytics, or a related field, with a Bachelors

Proficiency in Python and SQL

Experience using PySpark for distributed data processing and feature engineering

Familiarity with Customer Data Platforms (CDPs) and integrating customer data across systems

Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines

Strong grasp of machine learning algorithms including (2-3 at least):

Regression (linear, logistic)

Tree-based models (Random Forest, XGBoost, LightGBM)

Neural networks

Clustering and dimensionality reduction (e.g., LDA, PCA)

Recommender systems (e.g., collaborative filtering)

Experience with A/B testing, experimental design, and statistical inference.

Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:

Master's degree in a quantitative discipline (e.g., Data Science, Computer Science, Statistics or Engineering)

Automotive experience

2+ years of experience working with large-scale customer datasets

Experience with customer journey analytics, lifetime value modeling, or propensity scoring

Familiarity with CRM systems and marketing analytics tools / data

Strong communication and storytelling skills with the ability to influence decision-makers

Experience working with real-time data pipelines and event-driven architectures

Exposure to feature stores and model registries in MLOps environments

Experience with Industrial Engineering and Supply Chain modeling / analytics

Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Hadoop or Spark

Understanding of CI/CD workflows for automating model testing and deployment

Experience with Power BI or similar tools for data visualization and dashboarding

Salaried Employee Benefits (US, Non-Represented)

Health & Wellbeing

Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement

Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work

Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits

12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth

Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More

Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends.