# Senior Data Scientist

**Company**: American Honda Motor Company
**Location**: Torrance, California
**Experience**: senior
**Job type**: full-time
**Salary**: $110,000.00 - $165,000.00
**Category**: Data Science
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q4744011

**Apply**: https://careers.honda.com/us/en/job/13361/Senior-Data-Scientist?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-data-scientist-b20959de-b20/

## Description

We are seeking a Senior Data Scientist to join our team at American Honda Motor Company. The successful candidate will be 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.

The Senior Data Scientist II is responsible for connecting 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 responsibilities include:

- Designing, building, and validating statistical and machine learning models for forecasting and planning

- Translating sales targets into digital marketing goals and planned media spend into website traffic and performance forecasts

- Engineering features from sales, media, digital traffic, and business data

- Identifying, evaluating, and integrating data sources that can improve forecast accuracy and reliability

- Developing maintainable, production-quality code and partnering with engineering to deploy, monitor, and retrain models

- Assessing structural changes in media spend, campaign strategy, seasonality, or demand patterns and adjusting modeling assumptions when needed

- Communicating findings, model limitations, tradeoffs, and recommendations to technical and non-technical stakeholders and leadership

- Building productive working relationships across marketing, digital, sales, analytics, and engineering teams

The ideal candidate will have:

- A Bachelor's degree in Statistics, Economics, Computer Science, Data Science, Engineering, or a related quantitative field

- 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

- Ability to scope ambiguous business problems, formulate hypotheses, and develop end-to-end solutions with minimal oversight

- Strong model validation and analytical judgment

- Ability to explain complex technical concepts and model outputs clearly to non-technical business stakeholders and build cross-functional working relationships

We offer a range of benefits, including:

- Competitive Base Salary

- Paid Overtime

- Regional Bonus

- Industry-leading Benefit Plans

- Paid time off

- Company Paid Short-Term and Long-Term Disability

- 401K Plan with company match

- Relocation assistance

- Tuition Assistance & Student Loan Repayment

- Lifestyle Account

- Childcare Reimbursement Account

- Elder Care Support

- Wellbeing Program

- Community Service and Engagement Programs

- Product Programs

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## Skills

### Required
- Python
- statistical programming
- machine learning
- data science
- SQL
- AWS
- Spark
- Hadoop
- HDFS
- PyTorch
- TensorFlow
- Scikit-Learn

### Nice to have
- marketing mix modeling
- automotive industry experience
- digital marketing measurement
- attribution

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Source: [Apply at careers.honda.com](https://careers.honda.com/us/en/job/13361/Senior-Data-Scientist?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)