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Data Scientist

2 months ago

Florham Park, New Jersey, United States Dun & Bradstreet Full time
About the Role

Dun & Bradstreet is a leading provider of business data and analytics solutions. We are seeking a highly skilled Junior Data Scientist to join our team and contribute to the development of innovative machine learning models.

Key Responsibilities
  • Translate business requirements into machine learning frameworks, ensuring accurate and efficient solutions.
  • Develop and implement full end-to-end machine learning models, leveraging expertise in data gathering, transformation, experimentation, training, tuning, testing, deployment, and monitoring.
  • Communicate complex technical concepts to both technical and non-technical stakeholders, providing clear and concise explanations of results and recommendations.
  • Identify business needs and generate innovative ideas to address them, collaborating with cross-functional teams to drive business growth.
  • Balance independent work with team collaboration, ensuring seamless integration of efforts and effective project management.
  • Manage multiple projects simultaneously, prioritizing tasks and meeting deadlines while maintaining high-quality deliverables.
  • Stay up-to-date with industry best practices and academic research, applying knowledge to drive business value and improve processes.
  • Share knowledge and expertise with the team, fostering a culture of collaboration and continuous learning.
Requirements
  • Advanced degree in physics, math, computer science, or a similarly quantitative field.
  • Experience with SQL, Python, R, or other technologies for data science, with a strong proficiency in machine learning development cycles.
  • Proven track record of operating successfully in data science roles, particularly in cross-functional teams.
  • Experience with solving a broad range of analytic problems using supervised/unsupervised learning, NLP, graphs, and unstructured data analysis.
  • Intellectual honesty and common sense, with a comfort level in ambiguity and fast-paced environments.
  • Strong data engineering skills to independently overcome common bottlenecks and friction points.