Head - Data Science

Job Description

As the Head of Data Science at Redcliffe Labs, your role will involve leading the organizations advanced analytics and AI initiatives. You will be responsible for defining and executing the long-term data science and AI roadmap, aligned with business priorities. Your strategic leadership skills will be crucial in representing data science in executive and board-level discussions, influencing strategic direction, and identifying opportunities where AI/ML can deliver measurable impact. Additionally, you will need to serve as a thought leader for Generative AI and LLM adoption, ensuring the organization remains at the forefront of AI innovation.Key Responsibilities:- Define and execute the long-term data science and AI roadmap, aligned with business priorities.- Represent data science in executive and board-level discussions, influencing strategic direction.- Partner with CXOs and business leaders to identify opportunities where AI/ML can deliver measurable impact.- Serve as the thought leader for Generative AI and LLM adoption, ensuring the organization remains at the forefront of AI innovation.- Build, lead, and mentor a team of data scientists, ML engineers, and AI researchers.- Establish a center of excellence for AI/ML and data science practices.- Foster a culture of innovation, experimentation, and continuous learning.- Lead design and deployment of advanced machine learning, deep learning, and LLM-based solutions.- Oversee model lifecycle management, including training, deployment, monitoring, and retraining.- Drive adoption of MLOps practices to ensure scalable and production-grade ML systems.- Spearhead initiatives in NLP, computer vision, recommendation systems, and generative AI.- Act as a bridge between data science and business strategy to ensure solutions deliver ROI.- Partner with product, engineering, and technology teams to integrate AI-driven capabilities into core platforms.- Present analytical insights and AI-driven opportunities to executive stakeholders and external partners.Qualifications:- 8-10 years of experience in data science and machine learning, with at least 3 years in leadership roles.- Proven expertise in LLMs, NLP, deep learning, and advanced ML techniques.- Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.).- Hands-on experience with any cloud AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) and big data ecosystems (Spark, Databricks).- Demonstrated ability to communicate complex AI concepts to executive leadership and drive buy-in at the CXO level.- Strong background in AI/ML strategy, governance, and ethical AI practices.- Excellent stakeholder management, influencing, and leadership skills.Skills:- Experience building enterprise-grade AI/LLM applications at scale.- Familiarity with retrieval-augmented generation (RAG), vector databases, and prompt engineering.- Exposure to AI regulation, compliance, and responsible AI frameworks.- Industry experience in healthcare, fintech, or other AI-driven sectors. As the Head of Data Science at Redcliffe Labs, your role will involve leading the organizations advanced analytics and AI initiatives. You will be responsible for defining and executing the long-term data science and AI roadmap, aligned with business priorities. Your strategic leadership skills will be crucial in representing data science in executive and board-level discussions, influencing strategic direction, and identifying opportunities where AI/ML can deliver measurable impact. Additionally, you will need to serve as a thought leader for Generative AI and LLM adoption, ensuring the organization remains at the forefront of AI innovation.Key Responsibilities:- Define and execute the long-term data science and AI roadmap, aligned with business priorities.- Represent data science in executive and board-level discussions, influencing strategic direction.- Partner with CXOs and business leaders to identify opportunities where AI/ML can deliver measurable impact.- Serve as the thought leader for Generative AI and LLM adoption, ensuring the organization remains at the forefront of AI innovation.- Build, lead, and mentor a team of data scientists, ML engineers, and AI researchers.- Establish a center of excellence for AI/ML and data science practices.- Foster a culture of innovation, experimentation, and continuous learning.- Lead design and deployment of advanced machine learning, deep learning, and LLM-based solutions.- Oversee model lifecycle management, including training, deployment, monitoring, and retraining.- Drive adoption of MLOps practices to ensure scalable and production-grade ML systems.- Spearhead initiatives in NLP, computer vision, recommendation systems, and generative AI.- Act as a bridge between data science and business strategy to ensure solutions deliver ROI.- Partner with product, engineering, and technology teams to integrate AI-driven capabili

Keyskills :
machine learningdata sciencebusiness acumenNLPcomputer visionPythonSparkstakeholder managementcompliancegenerative AILLMsAIMLrecommendation systemsTensorFlowPyTorchHugging Face TransformersLangChainAWS SagemakerGCP Vertex AIAzure MLDat