Data Scientist

American Honda Motor Co., Inc.•Torrance, CA

About The Position

The Data Scientist develops and manages data analysis and artificial intelligence processes to derive customer and product insights. As part of the Data Analytics team, this role builds key metrics, data processes, analytics, and machine learning models for business use cases. The position works across Sales, Marketing, and Engineering to embed advanced analytics into production systems and supports Business Managers in creating business strategies and plans.

Requirements

Bachelor’s degree in computer science or a quantitative field such as statistics or mathematics.
At least 1 year of industry experience working as a Data Scientist, with experience in 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 in data preparation and transformation.
Experience with cloud environments and data frameworks.
Experience leveraging data insights to influence business stakeholders and communicate analytical insights to non-technical audiences.
Ability to frame hypotheses, create meaningful metrics, and select modeling approaches.
Clear oral and written communication and presentation skills.

Nice To Haves

Master’s degree.

Responsibilities

Conduct analyses encompassing problem formulation, data gathering and requirements specification, data preparation, analysis, and presentations.
Develop insights from customer profiles, purchases, engagement, product experience, and feedback to support strategic program development for sales and product teams.
Create customer value analyses to drive customer acquisition, retention, and personalization programs.
Support development of analytical AI methods that derive insights from structured and unstructured data; test, validate, and continuously improve data and analytical methods.
Apply advanced analytical methods, including statistical and machine learning models, to provide insights on user experience, behaviors, and engagement, and support product teams in identifying issues and opportunities.
Analyze controlled experiments and A/B tests to examine the incremental impact of new initiatives.
Create customer-centric performance metrics and dashboards for products and programs, and use performance metrics and insights to support data-driven business decisions.