Senior Data Scientist: Generative AI & LLM Solutions

Ally Financial

Detroit (MI)

Hybrid

USD 85.000 - 150.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Signing bonus
Relocation assistance
Equity

Zusammenfassung

Ally Financial is seeking a Senior Specialist - Data Science to apply advanced analytics, ML, and Generative AI techniques across the enterprise. You will collaborate with stakeholders to translate business needs into scalable AI solutions, develop rigorous evaluation frameworks, and drive responsible AI governance.

The role emphasizes productionization, MLOps practices, and mentorship within a broad data science program.

Qualifikationen

  • Bachelor's degree in a quantitative field and 3+ years in data science or related area.
  • Hands-on experience with Generative AI, LLMs, and prompt engineering.
  • Proficiency in Python and ML libraries; strong data wrangling and analytics.
  • Experience deploying ML/AI in production with monitoring and governance.

Aufgaben

  • Analyze large datasets to identify patterns and insights for business problems.
  • Design, develop, and evaluate ML models with proper validation and monitoring.
  • Build Generative AI solutions using foundation models, embeddings, and RAG techniques.
  • Collaborate with business and tech teams to translate analytics into actionable recommendations.

Kenntnisse

Analytical thinking
Communication skills
Problem solving
Team collaboration

Ausbildung

Bachelor's degree in Data Science, CS, Stats, Math, Engineering, or equivalent
Master's degree in relevant quantitative discipline

Tools

Python
SQL
scikit-learn
PyTorch
TensorFlow
AWS
Azure
GCP
MLOps
RAG
Embeddings

Jobbeschreibung

Ally Financial is seeking a Senior Specialist - Data Science to apply advanced analytics, ML, and Generative AI techniques across the enterprise. You will collaborate with stakeholders to translate business needs into scalable AI solutions, develop rigorous evaluation frameworks, and drive responsible AI governance.

The role emphasizes productionization, MLOps practices, and mentorship within a broad data science program.

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