Data Scientist

### Primary Skills

Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test

### Specialization

Data Science Advanced: Data Specialist

### Job requirements

About the Role Looking for a Forward Deployed Engineers to partner directly with business teams to design, build, and deploy AI-powered solutions on Google's enterprise AI stack. You will work hands-on with stakeholders to translate business problems into production-grade agentic applications. What You'll Do • Build and deploy AI agents and LLM-powered solutions using Google Gemini Enterprise and Vertex AI • Partner with key business functions like Finance, Legal and Agent Growth business teams to prototype, and scale high-impact use cases • Comfortable with experimentation on yet to be completely defined use cases • Integrate AI workflows with Google Workspace (Gmail, Drive, Sheets) and other enterprise systems • Evaluate and leverage Gemini and non-Gemini models via Vertex AI Model Garden where appropriate • Iterate quickly with end users — ship, measure, refine • Build solutions that can be translated into repeatable framework What We're Looking For • Strong software engineering fundamentals with a builder's mindset • Hands-on experience with LLMs, RAG, and ideally agentic frameworks (LangChain, LangGraph, CrewAI, Google ADK, or similar) • Experience with Google Cloud / Vertex AI is a strong plus; Workspace API familiarity ideal • Curiosity and comfort working directly with both technical and non-technical business stakeholders • Experience – 4 to 8 years

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