Role Summary The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data scientists.
Key Responsibilities
- Design and implement advanced machine learning, Gen-AI, and Agentic AI based solutions.
- Apply GenAI and Agentic AI techniques to enhance decision-making workflows.
- Collaborate with sales and presales teams to craft proactive solution pitches for clients.
- Drive innovation in MLOps practices for scalable model deployment and monitoring.
- Conduct research on emerging AI technologies and integrate them into solutions.
- Mentor junior team members and foster a culture of continuous learning.
- Ensure compliance with AI governance and ethical standards.
Required Qualifications
- Bachelors or Masters or Ph.D.
in Data Science, Machine Learning, or related field.
- 6+ years of experience in data science and AI/ML model development.
- Expertise in NLP, deep learning, and advanced ML frameworks (TensorFlow, PyTorch).
- Hands-on experience with Generative AI and Agentic AI.
- Solid knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Proficiency in Python and SQL; familiarity with MLOps tools (MLflow, Kubeflow) and LLMOps tools (LangSmith, LangFuse).
- Knowledge of Snowflake would be beneficial.
Core Competencies
- Strategic thinking and problem-solving.
- Excellent communication and stakeholder engagement skills.
- Ability to lead complex projects and deliver business impact.