Lead Data Scientist- IBM Watson

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Scientist – IBM Watson based in the United States.

This role is centered on leading advanced AI and data science initiatives that transform complex business challenges into scalable, data-driven solutions.
You will guide the design and deployment of machine learning models, agentic AI systems, and predictive analytics across enterprise environments.
The position combines hands-on technical work with team leadership, requiring both strategic thinking and strong execution capabilities.
You will collaborate closely with business stakeholders, engineers, and product teams to identify opportunities where AI can deliver measurable impact.
The environment is fast-evolving and innovation-driven, with strong emphasis on applied AI, generative models, and cloud-based deployment.
You will also play a key role in shaping data science best practices, mentoring engineers, and driving end-to-end ML lifecycle excellence.
This is a high-impact leadership role where your work directly influences product intelligence and business outcomes.

Accountabilities:

Lead and mentor a team of data scientists, guiding technical direction and supporting professional development.
Collaborate with cross-functional stakeholders to define business problems and translate them into AI-driven solutions.
Design and implement machine learning models, statistical systems, predictive analytics, and agentic AI architectures.
Develop and manage end-to-end ML pipelines, including training, deployment, monitoring, and maintenance.
Apply advanced AI techniques such as RAG systems, multi-agent frameworks, and generative AI solutions.
Analyze business requirements to identify opportunities for cost reduction, revenue growth, and process optimization.
Communicate technical findings and recommendations clearly to both technical and non-technical audiences.
Ensure data quality, model reliability, and production stability across deployed AI systems.
Stay current with emerging trends in AI, machine learning, and data science, integrating new methods where relevant.

Requirements:

Bachelor’s, Master’s, PhD, or equivalent advanced training in Computer Science, Engineering, Mathematics, or related field.
6+ years of experience in Data Science, Machine Learning, or Generative AI roles.
4+ years of hands-on experience with AWS cloud environments and production model deployment.
2+ years of experience working with IBM WatsonX or IBM Watson-based solutions.
Strong experience with agentic AI frameworks such as LangGraph, Google ADK, or similar tools.
Deep understanding of RAG architectures and multi-agent AI systems.
Strong programming skills in Python, SQL, and familiarity with R or C++.
Hands-on experience with ML frameworks such as TensorFlow or PyTorch.
Proven leadership experience managing data science teams and multiple concurrent projects.
Strong communication, problem-solving, and stakeholder management skills.

Benefits:

Competitive compensation aligned with senior leadership and specialized AI expertise.
Fully remote role within the United States.
Opportunity to lead cutting-edge IBM Watson and generative AI initiatives.
Exposure to advanced agentic AI systems, LLM workflows, and enterprise-scale ML pipelines.
Career growth through technical leadership, innovation ownership, and team mentorship.
Collaborative and inclusive environment focused on AI innovation and continuous learning.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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Lead Data Scientist- IBM Watson

Requirements:

Benefits:

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