Graphic Designer II (R-19515)

U.S. Equal Employment Opportunity information
(Completion is voluntary and will not subject you to adverse treatment)
Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

About the role

The role involves leading a team of data analysts to enhance business intelligence through advanced analytics and machine learning techniques. Key responsibilities include developing predictive models, managing data pipelines, and collaborating with cross-functional teams to drive strategic initiatives.

Responsibilities

• Develop and maintain predictive analytics models using statistical methods and machine learning algorithms.
• Design and implement data pipelines to ensure efficient data processing and storage.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable insights.
• Present findings and recommendations to stakeholders, including senior management.
• Continuously improve model accuracy and efficiency through iterative testing and validation.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 5 years of experience in data analysis and machine learning.
• Experience with Python, R, or similar programming languages.
• Strong understanding of statistical concepts and machine learning principles.
• Excellent problem-solving and analytical skills.
• Experience with data visualization tools such as Tableau or Power BI.

Qualifications

• Proven ability to manage and optimize large-scale data sets.
• Experience with cloud-based platforms like AWS or Google Cloud.
• Knowledge of SQL and database management systems.
• Good communication and interpersonal skills.

Skills

• Advanced proficiency in Python and R.
• Experience with data engineering tools and technologies.
• Understanding of data privacy and security best practices.
• Ability to work independently and as part of a team.

Benefits

Competitive salary, comprehensive benefits package, professional development opportunities, and a supportive work environment.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time position, Monday through Friday, 9 AM to 5 PM.