AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
About the role
- Senior Data Scientist supporting analytics for Ford Customer Service. Requires strong skills in data visualization, statistics, and machine learning with a focus on service operations.
Responsibilities
- Acquire deep understanding of customer service operations and translate them into appropriate analytical frameworks
- Work with large and small, complex data sets using tools such as BigQuery,Dataform, SQL, Python,etc
- Build dashboards and visualization tools (e.g., Power BI, Qlik Sense)
- Contribute and review code for our code base in GitHub
- Make sense of, clean, and assess validity and completeness of data from service visits, repair orders,dealer ops and customer interactions
- Deliver insights, models, and tools using statistical analysis, data validation, machine learning, algorithm design, and feature engineering
- Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
- Interact and work cross-functionally with business partners, data stewards, and service operations teams
- Develop trust with stakeholders and peers by delivering results on time
- Ensure overall quality of the data and solutions throughout the development process
- Provide training and maintenance of implemented tools to business partners
- Collect feedback from business users and continuously improve analytic products
- Mentor more junior data scientists by being a role model and advisor on the above tasks
- Find areas to lead and innovate as a Senior Data Scientist on the team
Requirements
- Bachelor's degree in Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Operations Research or similar technical field or a related quantitative discipline
- Potential candidates should possess 5-7 years of working experience as a Data Scientist.
- 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data
- 5+ years of experience using Python, SQL or BigQuery and data visualization tools
- Comfortable working in an environment where problems are not always well-defined
- Inquisitive, proactive, and interested in learning new tools and techniques
- Proven quantitative modeling and statistical analysis skills
- Master's in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field (preferred)
- Knowledge of service operations, customer experience analytics, or automotive aftermarket (preferred)
- Experience deploying Machine Learning in production (ideally MLOps) for internal or external use (preferred)
- Experience with Google Cloud Platform (GCP) or other cloud systems (preferred)
- Strong oral, written and interpersonal communication skills (preferred)
- Ability to effectively advocate technical solutions to peer, management and business audiences (preferred)
Job title
Job type
Experience level
Salary
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Degree requirement
Tech skills
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