Data Scientist
Role details
Job location
Tech stack
Job description
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands. * Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path. * E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills. * Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
Requirements
Data Scientist with presentation skills (1) - US based and must be great at presentation skills coupled with high analytics knowledge and approach, technical programming and data visualization skills, database SQL skills, Python, ML and AI prompting and development. Leadership and collaboration skills a must
GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.
Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets. * Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance. * MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS)., If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!