Job Description

Salary: $80,000 - 120,000 per year Requirements:

• Bachelors degree in computer science or a quantitative discipline such as statistics or mathematics; a masters degree is preferred.
• At least 1 year of industry experience as a data scientist, including quantitative marketing, customer, or product analysis.
• At least 1 year of experience using Python and a statistical programming language to implement statistical analyses and machine learning models.
• Experience with SQL and large relational datasets from multiple sources.
• Experience preparing and transforming data.
• Experience with cloud environments such as AWS S3, EC2, Redshift, Glue, or SageMaker, and data frameworks such as Spark, Hadoop, or HDFS.
• Ability to use data insights to influence business stakeholders and communicate analytical findings to nontechnical audiences.
• Ability to formulate hypotheses, define meaningful metrics, and choose appropriate modeling approaches.
• Strong written, verbal, and presentation skills.

• Conduct end-to-end analysis, including framing problems, gathering data and requirements, preparing data, performing analyses, and presenting findings.
• Develop insights from customer profiles, purchases, engagement, product experiences, and feedback to inform strategic programs for our sales and product teams.
• Create customer value analyses that support acquisition, retention, and personalization initiatives.
• Develop, test, validate, and continually improve AI and analytics methods for deriving insights from structured and unstructured data.
• Apply statistical and machine learning methods to understand user experiences, behaviors, and engagement, and help product teams identify issues and opportunities.
• Analyze controlled experiments and A/B tests to assess the incremental impact of initiatives.
• Build customer-focused performance metrics and dashboards, using the resulting insights to support data-driven business decisions.

• AI
• AWS
• Redshift
• Cloud
• EC2
• Hadoop
• Support
• Machine Learning
• Marketing
• Python
• SQL
• Spark

More:

At Honda, we are driven by innovation and a vision to advance the joy and freedom of mobility while pursuing a zero environmental footprint. We seek people with diverse backgrounds, a commitment to continuous improvement, and a strong work ethic to help us shape the future. This Data Scientist joins our Data Analytics team and works across Sales, Marketing, and Engineering, while supporting business managers with strategy and planning. The role is based primarily in a corporate office, with minimal travel. Our total rewards include competitive base pay, paid overtime, a regional bonus when applicable, medical, dental, vision, and prescription coverage, paid time off, disability coverage, a 401(k) with company contributions, and relocation assistance when eligible. We also offer advancement and career mobility, education reimbursement, training and development, tuition assistance and student loan repayment, lifestyle and care support accounts, wellbeing programs, community engagement, and product programs. We are an equal opportunity employer and consider qualified applicants without regard to protected characteristics.

last updated 44 week of 2026

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