Seeking a highly motivated Senior Data Scientist with over 8 years of experience in AI/ML analytics. The role involves developing and implementing machine learning models, collaborating with stakeholders to translate requirements into deliverables, and utilizing statistical and machine learning techniques for complex data analysis. The candidate will stay updated with AI/ML advancements and support cross-functional initiatives, leveraging data to drive business insights and innovation.

Must Have

• Over 8 years of experience as a Senior Data Scientist.
• Strong background in AI/ML analytics.
• Develop and implement machine learning models and algorithms.
• Work closely with project stakeholders to understand requirements and translate them into deliverables.
• Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Collaborate with cross-functional teams to support various AI/ML initiatives.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong understanding of machine learning, deep learning and Generative AI concepts.

Good to Have

• Knowledge and Experience in building knowledge graphs in production.
• Understanding of multi-agent systems and their applications in complex problem solving scenarios.

Job Description:

Position Requirements

We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.

Key Responsibilities:

• Develop and implement machine learning models and algorithms.
• Work closely with project stakeholders to understand requirements and translate them into deliverables.
• Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Collaborate with cross-functional teams to support various AI/ML initiatives.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong understanding of machine learning, deep learning and Generative AI concepts.

Preferred Skills:

• Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (yolo), Deep Learning stack, NLP using python.
• Strong knowledge and experience in Generative AI/LLM based development.
• Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG).
• Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.
• Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns.
• Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
• Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval.
• Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
• Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs.
• Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).
• Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
• Experience with version control systems (e.g., Git, CodeCommit).

Good to have Skills

• Knowledge and Experience in building knowledge graphs in production.
• Understanding of multi-agent systems and their applications in complex problem solving scenarios.

Equal Opportunity Employer

Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.