Data Scientist

Ford Ford · Auto · Dearborn, MI +1 · Global Data Insight & Analytics

The Data Scientist role at Ford focuses on leading the development and delivery of GenAI applications for the global marketing organization. This involves architecting and integrating data science algorithms, ensuring application performance, adhering to compliance standards, and mentoring junior scientists. The role requires experience with Python, SQL, cloud platforms, data processing pipelines, MLOps, A/B testing, and GenAI/ML model development using various frameworks and platforms.

What you'd actually do

  1. Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization.
  2. Architecting and integrating complex novel data science algorithms into the fabric of these end user applications.
  3. Ensuring application performance and adhering to enterprise compliance and best practice development standards.
  4. Mentoring junior data scientists.

Skills

Required

  • Python
  • SQL
  • cloud platforms (Google Cloud Platform, AWS, or Azure)
  • data processing pipelines (Spark and Dataflow)
  • managed machine learning services
  • A/B testing design, implementation, and analysis
  • experimental design methodologies
  • MLOps practices
  • model deployment
  • versioning
  • automated monitoring in production environments
  • Data architect
  • GenAI pipeline development using OpenAI, LLaMA, Gemini, Vertex AI, or AutoML
  • Advanced statistical modeling
  • machine learning techniques
  • regression
  • classification
  • forecasting
  • causal inference
  • Scikit-learn
  • XGBoost
  • TensorFlow/PyTorch
  • Pandas
  • Development of GenAI and machine learning models

Nice to have

  • Master’s degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related field

What the JD emphasized

  • GenAI applications
  • data science algorithms
  • MLOps
  • GenAI pipeline development

Other signals

  • GenAI applications
  • data science algorithms
  • MLOps
  • GenAI pipeline development