The Data Scientist will apply advanced statistical and machine learning techniques to analyze automotive industry datasets, extracting insights to drive evidence-based decision-making and address business challenges.
Requirements
- Database & Query knowledge and Understanding – Google Cloud Platform, Hadoop, Teradata or Oracle
- SQL, BigQuery, Jupyter Notebook Experience
- Strong analytical programming skills including Languages like R, Python, and SAS
- Proven experience in data design, data architecture and data modeling (both transactional and analytic)
- Visualization development – relevant experience utilizing GCP Looker, Qlik Sense or Power BI
Responsibilities
- Apply advanced statistical techniques and machine learning algorithms to analyze extensive datasets within the automotive industry, uncovering trends, patterns, and correlations crucial for addressing key business challenges.
- Drive evidence-based decision-making processes by extracting insights from large, complex structured and unstructured data sets.
- Develop data solutions enabling business teams to interpret data generated by connected vehicles, including dealership repair order, mobile app click, vehicle health alert, and prognostic data to further facilitate informed decision-making and proactive actions.
- Identify and explore additional data sources, evaluating their potential for generating actionable business insights.
- Design, maintain, and enhance predictive models, supporting strategic decision-making and operational efficiency within the company.
- Align departmental objectives and metrics with the connected vehicle dealer/customer journey, establishing quantifiable outcomes to track progress and success.
- Create comprehensive dashboards and processes for SE&O supporting workstreams such as Low Cost Per Repair, Fix it Right the First Time and Design For Service.
Other
- Experience with Ford Motor Company or another automotive OEM, preferably in vehicle service
- Minimum of 7 years of work experience, with 5+ years in a data driven field
- Strong teammate with collaborative problem-solving skills and customer focus
- Strong analytical and problem-solving skills with clear communication
- Strong interpersonal and leadership skills for effective communication
