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SalaryJob Purpose
The Data Science team at American Honda Motor is on the mission to design, develop, and deploy AI / ML solutions aligned with our 2030 vision where data is at the core of everything.
Key Accountabilities
You will leverage statistical analysis, machine learning, and data mining techniques to extract insights from data and drive data-driven decision-making. Key responsibilities include:
- Data Exploration and Preparation: Collect, clean, and preprocess large and complex datasets from various sources. Identify relevant data features and variables for analysis.
- Statistical Analysis and Modeling: Apply statistical techniques and develop predictive models to uncover patterns, trends, correlations, and anomalies in the data. Use machine learning algorithms to build predictive models and make data-driven predictions or recommendations.
- Data Visualization and Communication: Present findings and insights through data visualizations, reports, and presentations. Effectively communicate complex analytical concepts to both technical and non-technical stakeholders.
- Business Understanding and Problem Definition: Collaborate with business stakeholders to understand their objectives, challenges, and requirements. Translate business questions into analytical problems and define clear goals for data analysis projects.
- Feature Engineering and Selection: Identify and engineer relevant features or variables that are most predictive or informative for the problem at hand. Perform feature selection, dimensionality reduction, and transformation to optimize model performance.
- Model Evaluation and Validation: Conduct rigorous testing and evaluation of models and algorithms to measure their effectiveness and performance. Implement techniques such as cross-validation, hypothesis testing, and model validation to ensure accuracy and reliability.
- Collaborative Problem Solving: Work closely with cross-functional teams, including business analysts, data engineers, and domain experts, to understand domain-specific nuances and context. Collaborate on problem-solving initiatives and contribute valuable insights from a data perspective.
- Data-driven Decision Making: Provide recommendations and insights based on data analysis to drive informed decision-making within the organization. Collaborate with stakeholders to implement data-driven strategies and initiatives.
Qualifications, Experience, and Skills
Required Work Experience:
- Knowledge of Business Intelligence, AI, & ML.
- Knowledge in scripting (ex. Python, SQL).
- Knowledge of data structures (structured/unstructured) and data modelling.
- Bachelor’s degree in Technical discipline such as Computer Science, Mathematics, and Engineering.
- Knowledge of creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- Knowledge in AI (GenAI) / ML Ops (ex. GitHub) and Agile methodologies.
- Knowledge in data analysis, wrangling, validation and data cleansing.
- Knowledge in Cloud tools (ex. Redshift, Snowflake, Azure etc.)
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.
