Dun & Bradstreet is hiring for an fresher entry level Data Scientist role in US

Position:

• Data Scientist

Company:

• Dun & Bradstreet

Location:

• Florham Park, New Jersey, United States

Job type:

• Full-time

Job mode:

• On-site

Job requisition id:

• R-17845

Years of experience:

• Not explicitly required, but suited for entry-level to early-career professionals

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Company Description

• Dun & Bradstreet is a global leader in commercial data and analytics, committed to unlocking the power of data to help customers make confident business decisions.

• The company has a history of over 180 years in delivering reliable data-driven insights to businesses worldwide.

• With over 6,000 professionals globally, D&B’s team is passionate about innovation and focused on turning potential into prosperity.

• The culture is award-winning, grounded in creativity, collaboration, and growth, welcoming individuals with bold, diverse thinking.

• Employees are provided with opportunities to contribute to meaningful work, access continuous learning resources, and be part of a mission to drive global economic progress through better data.

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Profile Overview:

• The role of a Data Scientist at Dun & Bradstreet is deeply tied to solving practical business problems using advanced machine learning and data science techniques.

• You will work on transforming complex business cases, both internal and from clients, into well-structured ML-based solutions.

• The job involves identifying business needs independently, running multiple ML projects in parallel, and explaining results to both technical and non-technical stakeholders.

• Collaboration across teams is key, but self-driven problem-solving and time management are equally important in the fast-paced environment.

• There is a strong emphasis on continuous learning, sharing of knowledge, and applying the latest academic and industry research.

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Qualifications:

• A bachelor’s degree is required, preferably in a quantitative or technical field such as physics, mathematics, or computer science.

• Advanced degrees (Master’s or Ph.D.) in related domains are preferred, especially for candidates who wish to stand out in the selection process.

• The candidate should be well-versed in the complete machine learning development lifecycle.

• Familiarity with both structured and unstructured data, as well as a solid grasp of Natural Language Processing (NLP), Graph Theory, and Generative AI technologies, is highly valued.

• The role also demands strong data engineering skills to overcome friction points in real-world ML applications.

• The ideal candidate will possess intellectual integrity, practical problem-solving skills, and adaptability to ambiguity and high-pressure scenarios.

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Additional Info:

• You'll be expected to work independently and also contribute to cross-functional teams to develop innovative ML-based business solutions.

• The position may require balancing multiple projects simultaneously while meeting deadlines and maintaining high-quality outputs.

• Your communication skills should be strong enough to present findings clearly to both technical teams and business stakeholders.

• The culture supports knowledge sharing, mutual learning, and the constant pursuit of improvement through peer review and feedback.

• Staying updated with the latest in academic and industrial data science trends will be an integral part of your growth in this role.

• The job requires hands-on experience with model development, deployment, monitoring, and retraining pipelines.

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Key Responsibilities

Machine Learning Development and Implementation:

• Translate internal and client business requirements into machine learning use cases.

• Select the right algorithms and models to apply for different types of problems.

• Run full-cycle machine learning projects - from data preparation to production deployment.

• Evaluate models using statistical techniques and deploy models for inference.

• Monitor deployed models and manage model retraining cycles as needed.

Business and Technical Communication:

• Clearly explain technical results and model behavior to non-technical business stakeholders.

• Present detailed analysis and insights to data teams, management, and customers.

• Use storytelling with data to support business cases and influence decisions.

• Defend the model choices, underlying assumptions, and expected outcomes in both layman’s and technical terms.

Collaboration and Teamwork:

• Work collaboratively with other business units and cross-functional teams.

• Participate in idea generation sessions and brainstorming meetings.

• Support other team members and openly share knowledge and learnings.

• Seek continuous feedback and contribute to building a stronger data science community within the organization.

Self-Management and Delivery:

• Manage multiple data science projects independently.

• Meet project deadlines while delivering high-quality analytical solutions.

• Be ready to adapt and pivot when needed to meet business requirements.

• Take ownership and demonstrate accountability for end-to-end solutions.

Continuous Learning and Innovation:

• Keep up-to-date with the latest research, tools, and industry trends in data science.

• Apply innovative techniques from academia and industry to improve model performance.

• Use intellectual curiosity to propose new project ideas or enhancements to existing solutions.

• Attend workshops, webinars, and courses to enhance your skillset.

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Desired Technical Skills

• Python, R, or similar programming languages used in data science

• Strong hands-on experience with SQL for data extraction and transformation

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of statistical analysis, experimental design, and optimization techniques

• Familiarity with cloud platforms and DevOps tools for model deployment

• Experience with version control (e.g., Git), containerization (e.g., Docker), and CI/CD pipelines

• Ability to work with structured, semi-structured, and unstructured data sources

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Soft Skills and Competencies

• Ability to operate in ambiguous, high-pressure situations and still deliver results

• Strong analytical mindset paired with creative problem-solving skills

• Excellent verbal and written communication abilities

• Intellectual honesty - able to admit limitations of your work and seek improvement

• Natural curiosity and a desire to keep learning and growing

• Adaptability to change and resilience in dynamic work settings

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Benefits Overview

• Generous PTO policy that increases with tenure

• Up to 16 weeks of 100% paid parental leave after one year

• Sick leave for both self and family care

• Access to education assistance and continuous training platforms

• Participation in the Do Good Program - includes paid volunteer days and donation matching

• Comprehensive 401(k) retirement savings plan with employer matching

• Health benefits including medical, dental, and vision insurance for employees and dependents

• Discounted membership plans for wellness programs (e.g., Wellhub)

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Workplace Culture and Commitment

• Dun & Bradstreet strongly supports equal opportunity employment and maintains a diverse and inclusive workplace

• The company participates in E-Verify and complies with all legal regulations regarding discrimination and applicant rights

• Reasonable accommodations are provided for individuals with disabilities

• The organization encourages employee involvement in social good, community engagement, and environmental sustainability

• Team members are given the flexibility to grow across teams and explore various career pathways internally

Please click here to apply.

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