Data Scientist

EXPERIENCE: 8+ YEARS

JOB DESCRIPTION:

We are seeking a highly motivated Data Scientist with strong expertise in Google Cloud Platform (GCP), Machine Learning, and Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems.

Key Responsibilities

Data Science & Analytics

• Analyze large, complex datasets to identify trends, patterns, and business insights
• Perform data exploration, feature engineering, and statistical modeling
• Communicate insights clearly to technical and non-technical stakeholders

Machine Learning

• Design, build, and evaluate ML models (supervised, unsupervised, time-series, NLP)
• Implement end-to-end ML pipelines including data ingestion, training, validation, and deployment
• Perform model monitoring, performance tuning, and retraining
• Apply best practices in model interpretability, fairness, and bias detection

Generative AI

• Develop and integrate Generative AI solutions using LLMs (e.g., Gemini, OpenAI, open-source models)
• Implement use cases such as chatbots, document summarization, semantic search, and text generation
• Apply prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation) techniques
• Evaluate LLM performance using appropriate metrics

Google Cloud Platform (GCP)

• Build and deploy solutions using GCP services, including:
• BigQuery, Cloud Storage
• Vertex AI (AutoML, custom training, model deployment)
• Dataflow, Dataproc
• Cloud Functions / Cloud Run
• Use GCP for scalable, secure, and cost-efficient ML workloads