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oracle

Data Scientist

USA01 - USA Automotive
Chennai, IND
Full-time
Mid · 5+ years experience
Onsite
Discovered 2 days ago
PythonTensorFlowPyTorchSQLGCPVertex AI

Full Job Posting

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, Operations Research, or related quantitative field
  • Strong hands‐on experience in Python for data analysis, machine learning, and AI development
  • Experience with common ML and analytics libraries (e.g., NumPy, Pandas, scikit‐learn, TensorFlow, PyTorch)
  • Experience with SQL and working with relational and large‐scale datasets
  • Experience building analytical models and communicating insights to business stakeholders
  • Master’s or Ph.D. in a quantitative or engineering discipline
  • 5+ years of experience applying machine learning, advanced analytics, and AI techniques in real‐world settings
  • Strong experience with Generative AI, LLMs, NLP, and RAG architectures
  • Experience with cloud platforms, especially Google Cloud Platform (GCP), including Vertex AI, BigQuery, and related services
  • Experience working with large‐scale data ecosystems (e.g., NoSQL databases, Hadoop ecosystem)
  • Proficiency with version control (Git) and collaborative development practices
  • Strong mathematical foundations in probability, linear algebra, optimization, and numerical methods
  • Excellent problem‐solving, communication, and data storytelling skills
  • Ability to work independently while collaborating effectively with cross‐functional teams
  • Comfortable operating in fast‐paced, ambiguous, and evolving problem spaces.

Responsibilities

  • Build end‐to‐end system designs covering data ingestion, feature engineering, modeling, inference, and user‐facing outputs
  • Partner with IT and platform teams to deploy analytics and AI solutions on cloud infrastructure
  • Work with cross‐functional stakeholders to communicate insights, model results, and recommendations clearly
  • Explore new data sources, tools, and technologies to continuously enhance analytics and AI capabilities
  • Package findings into clear documentation, dashboards, and executive‐level presentations

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