Innovators on a mission to connect, protect, explore and inspire

We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Sketch aap’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!

As a Machine Learning Scientist in the Advanced Analytic Services Team , you will be required to have the following background education and experience and the ability to fulfill the following essential responsibilities. We also list preferred qualifications that are not required, but would be beneficial.

  • Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, graph analysis in automating and scaling internal business processes.

  • Establish and maintain strong relationships with key business stakeholders.

  • Engage clients and D&B colleagues to identify business needs and develop, implement, and manage solutions.

  • Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.

  • Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies, and tools.

  • Research complex business issues and recommend solutions, including model inputs and end products.

  • Serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions.

  • Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business case, and go to market strategy

  • Validate the performance of existing quantitative risk models and recommend changes when necessary

  • 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

  • Ph.D. or Masters in a quantitative / applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). Strong academic profile.

  • 3+ years’ operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives

  • Strong programming skills and modeling experience utilizing Python, R and/ or SAS, Spark, PySpark.

  • Strong SQL skills and experience working with large (big) datasets.

  • Strong client collaboration skills, including the ability to build and maintain relationships with clients.

  • Ability to advise team on the innovative methodologies, data science tools and environments.

  • Knowledge of evolving data science concepts and best practices including big data, NLP, graph analysis, non-regressive methods, and unstructured data synthesis.

  • Creative and inquisitive in nature, flexibility to learn and apply new methodologies.

  • Experience applying modern machine learning techniques.

  • Ability to program in other statistical analysis languages.

  • Experience working with very large datasets.

  • Experience in feature engineering, automation, network analysis or NLP.

  • Experience working with outside clients on statistical engagements.

  • Strong writing skills.

Required
  • Bachelor of Computer Science or related technical field, or equivalent practical experience.



Preferred
  • Master of Computer Science or related technical field, or equivalent practical experience.