Data Scientist (R-16380)

Key Skills

Algorithms, Data science techniques, Effective communication skills, Machine learning techniques, PySpark, Python Programming, R Programming, Scala Programming, SQL

Job Description

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 6,500+ 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! Learn more at dnb.com/careers.

This opening is for a Data Scientist to join a team which is focused on creating new analytical products using machine learning methods and information from various sources globally.

This Data Scientist will be immersed in Dun & Bradstreet proprietary data and will also actively explore and obtain new data from news, company websites, government/NGO sites, and other internet-based databases, which will be coupled with state-of-the-art ML algorithms and analytical platforms, and with practical business domain knowledge.

This resource MUST work onsite in our Jacksonville, FL Global Headquarters 3 days/week. 100% Remote is not Allowed

Key Responsibilities:

• Supporting development of new data science capabilities within analytics products and platform.
• Working within analytical environment to create new analytical capabilities, automate jobs, design modeling frameworks while creating dashboards, visualizations for external customers.
• Work on projects adhering to deliverables in statement of work, maintaining timeline, and documenting progress.
• Communicate analytical results in terms that are meaningful to business managers and senior leadership internally and externally.
• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
• Applying machine learning unsupervised and supervised methods to develop new features based on structured and unstructured data, develop standard and custom analytical solutions and capabilities.
• Working with internal / external D&B clients and stakeholders to identify their business needs and develop, implement, and manage solutions by creating prototypes, business cases and go to market strategy.
• Working with technology team on implementation of new analytics capabilities in D&B production and platforms.
• Research complex business issues and recommend solutions, including model inputs, model design frameworks, and end products that drive innovation for the company.
• Initiating and proposing unique and promising modeling projects, developing new and innovative algorithms and technologies, pursuing patents where applicable.
• Apply machine learning unsupervised and supervised methods to develop new features based on structured and unstructured data, develop standard and custom analytical solutions and capabilities.
• Working with internal / external D&B clients and stakeholders to identify their business needs and develop, implement, and manage solutions by creating prototypes, business cases and go to market strategy.
• Working with technology team on implementation of new analytics capabilities in D&B production and platforms.
• Researching complex business issues and recommend solutions, including model inputs, model design frameworks, and end products that drive innovation for the company.
• Initiating and proposing unique and promising modeling projects, developing new and innovative algorithms and technologies, pursuing patents where appropriate.

Education and Competencies

• Master’s degree in Statistics, Mathematics, Operations Research, Computer Science, or other related fields with a strong quantitative specialization.
• 3 or more years of applicable experience.
• Proficiency in programming skills with the ability conduct research utilizing Python, PySpark, R or Scala and other tools to manipulate data and conduct statistical analysis.
• Strong SQL programming skills and experience working with large data sets.
• Ability to effectively communicate complex ideas to both a technical and non-technical audience.
• Strong technical writing skills.

Benefits We Offer

• Generous paid time off in your first year, increasing with tenure.
• Up to 16 weeks 100% paid parental leave after one year of employment.
• Paid sick time to care for yourself or family members.
• Education assistance and extensive training resources.
• Do Good Program: Paid volunteer days & donation matching.
• Competitive 401k & Employee Stock Purchase Plan with company matching.
• Health & wellness benefits, including discounted Gympass membership rates.
• Medical, dental & vision insurance for you, spouse/partner & dependents.
• Learn more about our benefits: http://bit.ly/41Yyc3d.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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