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Sr. Data Scientist

Honda North America
paid time off, paid holidays, sick time, tuition reimbursement, 401(k), relocation assistance
United States, California, Torrance
1919 Torrance Boulevard (Show on map)
November 21, 2023
American Honda Motor Co
Description

Sr. Data Scientist

Location: Torrance, CA

Workstyle: Remote

What Makes a Honda, is Who makes a Honda

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.

At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company which serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint."

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda's, we want you to join our team to Bring the Future!

About this Position:

American Honda Motor is looking for an experienced Data Scientist to develop and manage advanced analytics models to drive personalized customer relationship communications and the sales of all Honda products and services.

Responsibilities include:



  • Develop end-to-end ML systems including data analysis, data preparation, model development, training, evaluation, deployment, and monitoring.
  • Build ML pipeline with continuous training, validation, and automatically runs models as a service.
  • Work with large, complex datasets from various data platforms to support digital product development and solve complex business problems. Build advanced models and analytics that continuously improve the efficiency of customer acquisition, retention, and loyalty marketing programs.
  • Build measurement, analytics, and machine learning modeling initiatives supporting customer-facing marketing programs.
  • Design and analyze controlled experiments to examine the incremental impact of each initiative.
  • Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, and presentations. Build analysis pipelines iteratively to provide insights at scale.
  • Apply advanced analytical methods (e.g., statistical and machine learning models) to provide insights on customer behavior and value. Support marketing team in creating highly effective customer engagement programs.


Who we are seeking:

As a Data Scientist on the Customer Experience Analytics team, you will build measurement, analytics, and machine learning modeling initiatives supporting customer-facing marketing programs. You'll work across Sales, Marketing, and Engineering teams to embed advanced models and measurement into production systems, and support marketers in creating highly effective customer engagement programs.

Required Work Experience:



  • 5+ years of industry experience working as a Data Scientist. Experience in quantitative marketing data science, product data science, risk modeling, or similar fields
  • 5+ years of experience in Python or R, and statistical programming language for implementing statistical analysis and machine learning models
  • 5+ years of experience developing machine learning system, including data preparation, model training, validation, deployment, and monitoring. Experience with automating continuous training and delivery strongly preferred.
  • Experience with cloud environment (S3, EC2, Redshift, SageMaker) and data frameworks (Spark, Hadoop, HDFS)


Required Education:

Bachelor's degree in computer science or a quantitative field (e.g., Statistics, Mathematics, etc.). Master's degree preferred.

Desired skills:



  • Experience leveraging data insights to influence business stakeholders and communicate complicated analysis 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)


Additional Position Factors:



  • Workstyle: Remote
  • Travel: 5%



At Honda, you will play a key role in our journey to become a company that society wants to exist now, and in the future. Your endless curiosity will drive innovation and your courageous spirit will challenge the status quo. We believe having a workforce made up of diverse thinkers and innovators makes us a better Honda. Respect for each other and respect for diversity each and every day drives our associates to contribute at the highest level and work effectively in a team environment. We make the dream of mobility a reality with our innovative and high-quality products. Together, we Bring the Future to our customers, associates, and communities. We are Honda!

What differentiates Honda and make us an employer of choice?

Total Rewards:



  • Competitive Base Salary - This is an exempt position with a salary range of $97,000 - $145,600. Pay will be based on several variables that include, but not limited to geographic location, work experience, education, etc.
  • Annual Bonus
  • Overtime Pay
  • Industry leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, paid holidays, sick time, personal days
  • 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:



  • Well-being program
  • Community service and engagement programs
  • Product programs
  • Free drinks onsite


Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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