Description
Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals.
The Data Scientist is responsible for developing and managing data analysis and artificial intelligence (AI) processes to derive customer and product insights. As a Data Scientist on the Data Analytics team, this position builds key metrics, data processes, analytics, and machine learning models for various business use cases. This role works across Sales, Marketing, and Engineering teams to embed advanced analytic processes into production systems, and supports Business Managers in creating business strategies and plans.
Key accountabilities:
- Conduct analysis that includes problem formulation, data gathering and requirements specification, data preparation, analysis, and presentations
- Develop insights from customer profile, purchase, engagement, product experience, and feedback to help sales and product team in strategic program development
- Create customer value analysis to drive customer acquisition, retention, and personalization programs
- Support the development of analytic AI methods that derive insights from structured and un-structured data. Test, validate, and continuously improve on new data and analytic methods.
- Apply advanced analytical methods (e.g., statistical and machine learning models) to provide insights on user experience, behaviors, and engagements. Support product teams in identifying issues and opportunities
- Analyze controlled experiments and A/B tests to examine the incremental impact of new initiative
- Create customer centric performance metrics and dashboards for various products and programs. Utilize performance metrics and insights to support business with data-driven decisions.
Qualifications, experience, and skills:
- Bachelor's degree in computer science or a quantitative field (e.g., Statistics, Mathematics, etc.).
- Master's degree preferred.
- 1+ years of industry experience working as a Data Scientist. Experience in quantitative marketing, customer, or product analysis
- 1+ years of experience in Python and statistical programming language for implementing statistical analysis and machine learning models
- Experience with SQL and large relational datasets from multiple sources
- Experience in data preparation and transformation
- Experience with cloud environment (AWS S3, EC2, Redshift, Glue, SageMaker) and data frameworks (Spark, Hadoop, HDFS)
- Experience leveraging data insights to influence business stakeholders and communicate analytic insights to non-technical audiences
- Be able to frame your own hypothesis, create meaningful metrics, and select the modeling approach
- Demonstrates clear communication and presentation skills (oral and written)
Total Rewards:
- Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
- Paid Overtime
- Regional Bonus (when applicable)
- Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
- 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