Principal, Data Scientist

Key Skills

Algorithms, Data Manipulation, Data science techniques, Effective communication skills, Finance, Fraud Risk, Machine learning techniques, PySpark, Python Programming, R Programming, Scala Programming, SQL, Statistical modeling

Job Description

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

The Principal Data Scientist position on our Analytics team is an exciting role that utilizes a mix of deep analytical skills, financial industry knowledge and client/stakeholder relationship management to build tools and analytics products.

This is wonderful opportunity for analytics professionals to expand their experience level and skill set. We welcome creative and inquisitive individuals with the flexibility to learn, apply new methodologies and provide best business solutions to our clients

The Role:

• Work with internal / external D&B clients and stakeholders to identify their business needs and opportunities, to develop / implement / manage solutions, and to improve business results
• Establish and maintain strong relationships with key business stakeholders
• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Research complex business issues and recommend solutions, including model inputs and end products
• Serve as a Subject Matter Expert on predictive models within the Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions
• Validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary
• Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs
• Ability to manage multiple assignments, many of which with challenging timelines
• Ability to work independently, as well as collaborate effectively in a team environment
• Partner with internal D&B team to develop new business solutions in risk analytics

Key Responsibilities:

• Work with internal / external D&B clients and stakeholders to identify their business needs and opportunities, to develop / implement / manage solutions, and to improve business results
• Establish and maintain strong relationships with key business stakeholders
• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Research complex business issues and recommend solutions, including model inputs and end products
• Serve as a Subject Matter Expert on predictive models within the Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions
• Validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary
• Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs
• Ability to manage multiple assignments, many of which with challenging timelines
• Ability to work independently, as well as collaborate effectively in a team environment
• Partner with internal D&B team to develop new business solutions in risk analytics

What are we looking for?

• Key Requirements:Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 3+ years of applicable experience
• Strong programming skills with the ability conduct research utilizing Python, Pyspark, R and Scala to manipulate data and conduct statistical analysis
• Strong SQL skills and experience working with large datasets
• Strong client collaboration skills, including the ability to build and maintain relationships with clients
• Ability to effectively communicate complex ideas to both a technical and non-technical audience
• Preferred Skills:Experience on creation fraud prevention risk applications is a big plus 
• Strong analytical mind and business acumen, especially in Financial Services Industry Experience in underwriting, lending risk, and statistical modeling roles
• Proven working experience in Risk modeling is required
• Proven working experience in applying modern machine learning techniques
• Passionate on stay abreast of cutting-edge ML algorithms, with good grasp of ML explain-ability methods
• Strong technical writing skills
• Familiarity with processing of unstructured data is a plus