Sr Data Scientist

Efficient & Reliable   Independent Contributor   Independently design and implement complex data science projects, from   initial   concept through final deployment.   Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions.   Proactively   identify   and address potential issues or opportunities for improvement in existing models and processes.    Design scalable data and knowledge pipelines (chunking, indexing, vector stores)   optimized   for GenAI and enterprise use cases.   Leadership and Mentorship   Mentor and   provide   technical guidance to junior data scientists and team members.   Foster a culture of continuous learning and improvement within the team.   Advanced Model Development   Lead the design, development, and deployment of advanced predictive models and machine learning solutions.   Ensure the scalability, reliability, and performance of data science solutions, implementing   MLOps   best practices.    Architect GenAI solutions (RAG, agents,   tool ‑ calling , multimodal systems) aligned to business workflows and constraints.     Define robust GenAI evaluation frameworks covering quality, safety, cost, latency, and business impact.   Strategic Collaboration   Collaborate with business stakeholders to   identify   and prioritize opportunities for   leveraging   data to drive strategic business solutions.   Communicate complex analytical concepts and findings to non-technical stakeholders, influencing decision-making at the highest levels.   Research and Innovation   Conduct in-depth research and analysis to develop innovative data science solutions that address complex business problems.   Drive the adoption of   cutting-edge   techniques and best practices in data science, machine learning, and AI across the organization.   Data Pipeline Management   Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization.   Implement robust validation and monitoring processes to ensure data quality and integrity.   Thought Leadership   Stay abreast of the latest trends and advancements in the field of data science.   Actively contribute to the organization's thought leadership through publications, presentations, and participation in industry events.

Bachelor’s,   Master’s   or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or   a related field .   8+ years of experience in data science or a related field, with a proven   track record   of leading and delivering high-impact projects.   Deep   expertise   in advanced machine learning techniques, statistical modeling, and AI.   Strong   proficiency   in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow,   PyTorch ).   Advanced skills in SQL and experience with big data technologies.   Proven experience with   MLOps   practices and tools for model deployment, monitoring, and optimization.   Exceptional problem-solving skills and a strategic mindset, with the ability to tackle complex data challenges.   Strong leadership and mentorship abilities, with experience guiding and developing junior team members.   Outstanding communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to diverse audiences.