Data Scientist

Dun & Bradstreet; Florham Park (NJ); On-site; USD 100,000 - 200,000; Full time

Job summary

An established industry player is seeking a Data Scientist with a focus on Generative AI. In this dynamic role, you'll transform business challenges into machine learning solutions, leveraging your expertise in data engineering and analytical problem-solving. You'll work collaboratively across teams, manage multiple projects, and stay updated on industry best practices. This position offers an exciting opportunity to contribute to innovative solutions in a fast-paced environment, making a significant impact on the company's success.

Qualifications

• Full proficiency in the ML development cycle from data gathering to deployment.
• Experience in cross-functional teams and solving analytic problems.

Responsibilities

• Convert business cases into a machine learning framework.
• Balance independent work with team collaboration on multiple projects.

Skills

Machine Learning Development Cycle

Data Engineering

Natural Language Processing (NLP)

Generative AI

Analytical Problem Solving

Education

Bachelor's Degree

Advanced Degree in Quantitative Field

Doctorate in Quantitative Field

Job description

Join to apply for the Data Scientist role at Dun & Bradstreet

Join to apply for the Data Scientist role at Dun & Bradstreet

As a Data Scientist you will have a focus on Generative AI and will be expected to have the below qualifications and to fulfill the following responsibilities:

Responsibilities

• Convert internal and clients’ business cases into a machine learning framework.
• Find the right technique, run full ML development cycle.
• Clearly explain and defend results of your work to technical audiences and in laymen’s terms.
• Independently identify business needs, generate ideas on how to address them.
• Efficiently balance independent work with team collaboration.
• Be able to run several projects in parallel.
• Be proficient in managing your time to meet deadlines.
• Be ready to do what it takes to deliver.
• Work jointly with cross-functional business units.
• Stay abreast of academic research and industry best practices.
• Share your knowledge across the team. Learn from others.

Education:

• Bachelors degree is required.
• Advanced degree in physics, math, computer science or similarly quantitative field - Preferred.
• Doctorate physics, math, computer science or similarly quantitative field - Preferred.

Qualifications needed:

• Full proficiency of ML development cycle: data gathering and transformation experimenting, training, tuning and testing productionalization, deployment and inference monitoring and retraining.
• Experience operating successfully in data science roles, especially as a member of cross-functional teams.
• Experience with solving broad range of analytic problems utilizing supervised/unsupervised learning, NLP, graphs, unstructured data analysis, Gen AI/LLM.
• Intellectual honesty and common sense.
• Comfort with ambiguity and pressure of fast paced environment.
• Strong data engineering skills to independently overcome common bottlenecks and friction points.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Analyst, and Science

• Industries

  IT System Data Services, Data Infrastructure and Analytics, and Information Services

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