Bachelor's degree in Statistics, Economics, Computer Science, Data Science, Engineering, or a related quantitative field required.
5+ years of hands-on experience in data science or machine learning solutions.
Proficiency in Python and statistical programming for model implementation.
Experience deploying machine learning models in production environments.
Strong knowledge of supervised and unsupervised learning, predictive modeling, and frameworks like PyTorch or TensorFlow.
Proficiency in SQL and experience with large relational datasets.
Familiarity with cloud environments such as AWS and MLOps practices.
Responsibilities
Design, build, and validate statistical and machine learning models for forecasting and planning.
Translate sales targets into digital marketing goals and media spend into performance forecasts.
Engineer features from various data sources and validate results against baselines.
Identify and integrate data sources to enhance forecast accuracy.
Develop maintainable, production-quality code and partner with engineering for deployment.
Assess changes in media spend and adjust modeling assumptions accordingly.
Communicate findings and recommendations to both technical and non-technical stakeholders.
Benefits
Competitive base salary and paid overtime.
Industry-leading benefit plans including medical, dental, and vision.
Paid time off including vacation and holidays.
401K plan with company match and additional contributions.
Tuition assistance and student loan repayment options.
Career growth opportunities and education reimbursement.
Wellbeing programs and community engagement initiatives.
Full Job Description
Job Purpose
The Senior Data Scientist II is responsible for designing, validating, and productionizing forecasting and planning models that translate sales targets and media investment into digital marketing goals, website traffic forecasts, and budget allocation guidance. This role connects rigorous statistical and machine learning methods with business context so Auto Sales, Auto Strategy, Marketing, Web, and Media teams can set realistic targets and improve the efficiency of marketing investments across Honda and Acura.
Key Accountabilities
Design, build, and validate statistical and machine learning models for forecasting and planning, using methods appropriate to the business question.
Translate sales targets into digital marketing goals and planned media spend into website traffic and performance forecasts.
Engineer features from sales, media, digital traffic, and business data. Validate results against baselines and guard against leakage, lookahead bias, and inconsistent definitions.
Identify, evaluate, and integrate data sources that can improve forecast accuracy and reliability.
Develop maintainable, production-quality code. Partner with engineering to deploy, monitor, and retrain models, and investigate forecast errors or model regressions.
Assess structural changes in media spend, campaign strategy, seasonality, or demand patterns and adjust modeling assumptions when needed.
Communicate findings, model limitations, tradeoffs, and recommendations to technical and non-technical stakeholders and leadership.
Build productive working relationships across marketing, digital, sales, analytics, and engineering teams.
Qualifications, Experience, and Skills
Minimum Education
Bachelor's degree in Statistics, Economics, Computer Science, Data Science, Engineering, or a related quantitative field required.
Master's degree or PhD in a quantitative field preferred
Required Experience and Skills
5+ years of hands-on professional experience building, testing, and deploying data science or machine learning solutions.
5+ years of experience in Python and statistical programming for implementing statistical analysis and machine learning models.
Proven experience deploying and operationalizing machine learning models and data pipelines into live production environments.
Detailed knowledge of supervised and unsupervised learning, predictive modeling, NLP, time series, and frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Spark.
Experience developing forecasting models, including time series analysis, seasonality handling, trend decomposition, and performance evaluation.
Experience with causal inference or econometric methods and interpreting model outputs in business terms.
Proficiency in SQL and experience working with large relational datasets from multiple sources.
Experience with cloud environments including AWS S3, EC2, Redshift, Glue, and SageMaker, and data frameworks including Spark, Hadoop, and HDFS. Familiarity with MLOps practices.
Ability to scope ambiguous business problems, formulate hypotheses, and develop end-to-end solutions with minimal oversight.
Strong model validation and analytical judgment, including the ability to identify leakage, spurious correlations, weak baselines, and implausible results.
Ability to explain complex technical concepts and model outputs clearly to non-technical business stakeholders and build cross-functional working relationships.
Experience with marketing mix modeling. Automotive or retail industry experience is a plus.
Familiarity with digital marketing measurement, attribution, and the relationship among media investment, traffic, conversion, and business outcomes.
What differentiates Honda and make us an employer of choice?
Total Rewards:
Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
Paid time off, including vacation, holidays, shutdown
Company Paid Short-Term and Long-Term Disability
401K Plan with company match + additional contribution
Relocation assistance (if eligible)
Career Growth:
Advancement Opportunities
Career Mobility
Education Reimbursement for Continued Learning
Training and Development Programs
Additional Offerings:
Tuition Assistance & Student Loan Repayment
Lifestyle Account
Childcare Reimbursement Account
Elder Care Support
Wellbeing Program
Community Service and Engagement Programs
Product Programs
About Honda Motors
Honda Motors is a leading manufacturer of automobiles, motorcycles, and power equipment. The company was founded in 1948 by Soichiro Honda and has since grown to become one of the largest automotive companies in the world. Honda Motors is known for its innovative designs and commitment to sustainability, with a focus on developing environmentally friendly vehicles. The company operates in over 30 countries and has a strong presence in the United States, Japan, and Europe.
