Data Scientist, Customer Experience

Ford Motor Company

full-time

Posted on: 9/24/2025

Origin: • 🇭🇺 Hungary

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Job Level

Mid-LevelSenior

Tech Stack

BigQueryCloudETLGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Design, develop, and maintain scalable data pipelines and ETL/ELT processes on Google Cloud Platform to ingest, process, and store data from diverse sources, ensuring data quality and reliability.
Leverage expert-level SQL and Python for complex data extraction, transformation, cleansing, and analysis to prepare data for analytical and machine learning applications.
Develop, deploy, and monitor machine learning models and AI-driven solutions (predictive analytics, NLP for chatbots, anomaly detection) using Vertex AI and other AI APIs.
Architect and manage data structures and tables within GCP (BigQuery, Cloud SQL, Spanner), optimizing for performance, cost, and accessibility.
Create and automate insightful dashboards and reports (Looker, Power BI, Qlik Sense) for CX performance tracking and ad-hoc analyses.
Collaborate with CX Performance Managers, Analysts, Product Owners, and stakeholders to define data requirements and deliver solutions.
Explore and analyze large datasets, including vehicle maintenance data, to uncover trends and insights informing CX strategy and product development.
Lead and support data projects using AI APIs (Dialogflow, Natural Language API, Vision API) to build CX tools and functionalities.
Ensure data governance, security, and compliance best practices for all data solutions, particularly customer data and PII.
Provide technical guidance and mentorship on data engineering best practices, GCP services, and AI/ML techniques.
Stay current with emerging technologies in data engineering, data science, AI/ML, and GCP ecosystem and advocate adoption where beneficial.
Document data architectures, data flows, model specifications, and processes to ensure clarity and maintainability.

Requirements

Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or comparable quantitative field (Bachelor's degree required; Master's or PhD desirable).
Proven hands-on experience as a Data Engineer or Data Scientist, with projects in data pipeline development, data modeling, and cloud deployments.
Expert proficiency in SQL and Python, including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
In-depth knowledge and practical experience with GCP data services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Functions, Vertex AI, Looker.
Strong understanding of data warehousing principles, database design, and data modeling techniques (relational and non-relational).
Experience developing and deploying machine learning models into production; familiarity with MLOps.
Proficiency building and automating dashboards and reports using Looker, Power BI, Tableau, or Qlik Sense.
Experience working with APIs for data ingestion and AI services.
Familiarity with connected vehicle data, dealer invoice data, automotive industry data, or CX metrics (NPS, CSAT) is a plus.
Excellent analytical and problem-solving skills; ability to translate complex business problems into technical solutions.
Strong communication and interpersonal skills for collaboration with technical and non-technical stakeholders.
Self-motivated, proactive; able to work independently and in an agile team.
Knowledge of data governance and data security best practices in cloud contexts.
Background checks are required pending successful interview.

Data Scientist, Customer Experience

Job Level

Tech Stack

About the role

Requirements

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