Senior Ds

KEY RESPONSIBILITIES  **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.  QUALIFICATIONS  * 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.