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Data Scientist and AI Specialist

Data Scientist and AI Specialist

Dun & BradstreetFlorham Park, NJ, United States
10 hours ago
Job type
  • Full-time
Job description

Why You Should Join Dun & Bradstreet

At Dun & Bradstreet, we harness the power of data analytics to create a brighter future. Our team of over 6,000 passionate individuals is dedicated to turning uncertainty into confidence, risks into opportunities, and potential into growth. We value diverse and bold thinkers who are eager to innovate and collaborate. Join us to make an impact in the world of data!

We are excited to invite applications for the role of Data Scientist and AI Specialist. In this position, you will be at the forefront of innovation, using Machine Learning and Generative AI to tackle complex business challenges.

Key Responsibilities

  • Utilize Large Language Models (LLMs) to gain actionable insights from unstructured text data, developing scalable GenAI solutions that meet various business requirements.
  • Stay abreast of advancements in the GenAI sector, implementing the latest tools and techniques to drive model innovation and performance.
  • Employ AI engineering best practices to create and deploy intelligent agents and modular GenAI systems, integrating cutting-edge technologies such as LangChain and vector databases for efficient task execution.
  • Oversee the entire Machine Learning lifecycle, including data collection, transformation, experimentation, model training, fine-tuning, deployment, and performance monitoring.
  • Translate internal and client-specific business needs into effective machine learning and GenAI solutions.
  • Balance self-directed work with collaboration in team settings.

Required Qualifications

  • An advanced degree (PhD or Masters) in Physics, Mathematics, Computer Science, or another quantitative discipline.
  • Expertise in Python and SQL, along with practical experience using core machine learning frameworks such as Hugging Face, Pandas, NumPy, Scikit-learn, and PyTorch.
  • Hands-on experience with large language models (LLMs) and techniques like parameter-efficient fine-tuning (PEFT), Chain-of-Thought (CoT) prompting, RAG, and LLM-as-a-judge.
  • Proficiency in Agentic AI development and orchestration tools like LangChain and LangGraph.
  • A strong foundation in supervised and unsupervised machine learning methods, natural language processing, unstructured data analysis, and GenAI / LLMs.
  • Experience with big data platforms (e.g., Databricks, Snowflake) and the capability to troubleshoot and resolve data issues independently.
  • Exceptional communication skills, capable of conveying complex ideas in an understandable manner.
  • Exhibit intellectual honesty, curiosity, and effective problem-solving abilities.
  • Benefits We Offer

  • Generous paid time off, with increases based on tenure.
  • Up to 16 weeks of fully paid parental leave after one year of service.
  • Paid sick leave to support your health and well-being.
  • Access to educational assistance and a wealth of training resources.
  • Do Good Program including paid volunteer days and donation matching.
  • Competitive 401k plan with company matching.
  • Comprehensive health and wellness benefits, featuring discounted membership rates for Wellhub.
  • Medical, dental, and vision insurance for you and your family.
  • To find all current job postings at Dun & Bradstreet, please visit our careers page. Official communication will come from an email address ending in @dnb.com.

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    Equal Employment Opportunity (EEO)

    Dun & Bradstreet provides equal employment opportunities to all applicants and employees, regardless of race, color, religion, sex, national origin, disability status, sexual orientation, gender identity, or any other protected characteristic.

    Accommodations for Applicants with Disabilities

    Dun & Bradstreet is committed to making reasonable accommodations for individuals with disabilities. If you require assistance due to a disability while applying for a position, please email us with your request and contact information.

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