Data Scientist

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us Learn more at

We are seeking a talented and driven
Python Engineer/Data Scientist
with a focus on
Python Multiprocessing
using CPU's to help build a variety of Agentic AI solutions.

You will utilize Python for designing, developing, and deploying Agentic solutions, fine tune models that power the agents and build data pipelines to power our products and services.

This role offers the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to bring AI innovations to life.

Key Responsibilities

• Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama) and proprietary LLMs (Open AI, VertexAI, etc).
• Develop modular, scalable, and reusable components for agent architecture including memory, planning, tool use, and multi-modal capabilities.
• Collaborate with product teams to prototype and evaluate novel agent behaviors and learning strategies.
• Support benchmarking of agent performance across tasks and environments.
• Assist in identifying bottlenecks and proposing optimizations.
• Build and maintain scalable data pipelines to support agent training, evaluation, and deployment.
• Implement observability and monitoring frameworks to ensure agent reliability and compliance.
• Integrate vector databases and embedding techniques to support agent memory and retrieval.
• Maintain CI/CD pipelines and MLOps frameworks to enable continuous delivery of AI capabilities.
• Assist fine-tuning and prompt engineering workflows to optimize agent performance across domains.
• Follow data governance and security best practices to ensure agent compliance with organizational standards.

Preferred Qualifications

• Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field required.
• Experience with agent orchestration frameworks, simulation environments, or robotics.
• Experience with Python Multiprocessing
• Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes).
• Strong work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses.
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.

Benefits We Offer

· Generous paid time off in your first year, increasing with tenure.

· Up to 16 weeks 100% paid parental leave after one year of employment.

· Paid sick time to care for yourself or family members.

· Education assistance and extensive training resources.

· Do Good Program: Paid volunteer days & donation matching.

· Competitive 401k with company matching.

· Health & wellness benefits, including discounted Wellhub membership rates.

· Medical, dental & vision insurance for you, spouse/partner & dependents.

· Learn more about our benefits:

All Dun & Bradstreet job postings can be found at Official communication from Dun & Bradstreet will come from an email address ending in

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