Senior Data Scientist

A Senior Data Scientist with experience in Google Cloud Platform GCP is responsible for leading complex data science projects building and deploying advanced machine learning ML models and leveraging GCP s ecosystem to drive strategic business decisions This role requires expert technical skills strong business acumen and the ability to collaborate with and mentor other team members Responsibilities End-to-End Project Leadership Lead and manage the entire data science project lifecycle from problem definition to model deployment and monitoring Advanced Analytics and Modeling Design develop and implement advanced statistical and machine learning models to solve complex business problems such as forecasting classification clustering and optimization Leverage expertise in advanced statistical techniques including hypothesis testing regression analysis and causal inference GCP-Specific Responsibilities Architect and build scalable data pipelines and ML model workflows using GCP services such as BigQuery Dataflow Vertex AI and Cloud Composer Develop and manage data warehousing and data lake solutions on GCP ensuring data quality integrity and security Utilize and optimize GCP s machine learning services including Vertex AI for model training and serving and BigQuery ML Cross-Functional Collaboration Partner with product managers data engineers and business stakeholders to translate ambiguous business needs into tractable data science problems and impactful solutions Communicate complex analytical findings and model results clearly and effectively to both technical and non-technical audiences Mentorship and Best Practices Provide technical guidance and mentorship to junior data scientists and analysts Advocate for and establish best practices in data science including code quality model validation and responsible AI principles Qualifications Education A Master s degree or Ph D in a quantitative field such as Statistics Mathematics Data Science Computer Science or Engineering is often preferred Experience 5 years of experience in a data science role with proven experience building and deploying production-level models Extensive hands-on experience developing and implementing solutions on the Google Cloud Platform Technical Skills Programming Expert-level proficiency in Python and SQL Experience with PySpark or other big data frameworks is a plus GCP Services Deep practical experience with core GCP data and ML services including Data Processing BigQuery Dataflow Cloud Composer ML Platform Vertex AI including Training Prediction and MLOps features Storage Cloud Storage Machine Learning Expertise in a wide range of ML techniques and algorithms including regression classification clustering and time series analysis Experimentation Proficiency in experimental design and analysis such as A B testing Visualization Experience with data visualization tools like Looker Tableau or similar platforms Gen AI LLMs Understand Transformer-based models GPT LLaMA Mistral etc fine-tuning methods LoRA QLoRA RLHF Prompt Engineering ability to design optimize and evaluate prompts for domain-specific use cases familiarity with techniques like few-shot learning chain-of-thought prompting tool augmentation and agent-based orchestration RAG Data Integration Hands-on experience with embeddings vector databases FAISS Pinecone Chroma DB Vertex AI Vector Search retrieval-augmented generation RAG and integrating enterprise data sources into GenAI systems Soft Skills Strong analytical and problem-solving skills with the ability to tackle complex ambiguous business problems Excellent communication and presentation skills with the ability to tell a compelling story with data A collaborative mindset and the ability to influence others to align on resources and strategy Nice-to-Have Google Cloud Professional Data Engineer or Machine Learning Engineer certification Experience with other cloud platforms e g AWS Azure Experience in a specific industry such as retail advertising or finance Familiarity with generative AI technologies