Senior Data Scientist – Decision Intelligence Practice

Senior Data Scientist – Decision Intelligence Practice

Location : Hanover, NJ

Duration : Longterm contract

• Strong software engineering fundamentals
• Strong understanding of the current technology landscape and how to apply tools strategically, and
• Strong critical-thinking skills.

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

• Bachelor’s or Master’s 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.
• Strong 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.