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Data Scientist (R-17065)

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development
  • Jacksonville
  • Quick Apply

AI generated summary

  • You need a Ph.D. or Masters in a quantitative field, 3+ years experience in ML/AI, strong Python, SQL, client skills, and the ability to communicate complex ideas effectively.
  • You will collaborate with stakeholders to enhance business insights, develop and validate predictive models, monitor performance, and manage multiple projects in risk analytics.

Requirements

  • Ph.D. or Masters in a quantitative / applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering) with 3+ years of applicable experiences.
  • Strong knowledge and experiences Machine Learning and AI and its application.
  • Strong programming skills with the ability conduct research utilizing Python, PySpark and other tools to manipulate data and conduct statistical analysis.
  • Strong SQL skills and experience.
  • 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.
  • Strong knowledge of MS office tools.

Responsibilities

  • Work with decision-makers across the company or external clients to understand their business goals, identify opportunities to use data and analytics to develop new insights, and to improve business results.
  • Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
  • Validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary.
  • Grow into a Subject Matter Expert over time on predictive models within the Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions.
  • Partner with internal D&B team to develop new business solutions in risk analytics.
  • Experience managing multiple projects to meet challenging timelines.

FAQs

What qualifications are required for the Data Scientist position?

A Ph.D. or Masters in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering) with 3+ years of applicable experience is required.

What programming skills are needed for this role?

Strong programming skills with the ability to conduct research utilizing Python, PySpark, and other tools to manipulate data and conduct statistical analysis are required.

Is experience with SQL important for this position?

Yes, strong SQL skills and experience are required for the Data Scientist role.

What types of clients will the Data Scientist interact with?

The Data Scientist will work with decision-makers across the company or external clients to understand their business goals and identify opportunities to use data and analytics.

What are the essential responsibilities of the Data Scientist?

Essential responsibilities include participating in all aspects of modeling engagements, validating performance of quantitative risk models, and consulting with the business on predictive modeling solutions.

Will I be expected to manage multiple projects?

Yes, the ability to manage multiple projects to meet challenging timelines is an important aspect of this role.

What benefits does Dun & Bradstreet offer?

Benefits include generous paid time off, paid parental leave, paid sick time, education assistance, competitive 401k, health & wellness benefits, and medical, dental & vision insurance.

What kind of experience is preferred for this role?

Preferred qualifications include strong business acumen in the Financial Services Industry, experience with very large datasets, applying modern machine learning techniques, and strong technical writing skills.

Where can I find more job postings at Dun & Bradstreet?

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.

Is Dun & Bradstreet an equal opportunity employer?

Yes, Dun & Bradstreet provides equal employment opportunities to applicants and employees without discrimination based on various protected characteristics.

Leading global provider of business decisioning data and analytics, enabling companies to improve business performance.

Technology
Industry
5001-10,000
Employees

Mission & Purpose

Dun & Bradstreet is a leading global provider of business data and analytics, helping companies across the world make informed business decisions. They collect and analyse vast amounts of commercial data to offer insights into company performance, risk assessment, and market opportunities. Dun & Bradstreet's ultimate mission is to help businesses grow, thrive, and manage risks more effectively through the power of data. Their purpose is to enable companies to achieve sustainable growth by providing reliable data and actionable insights that enhance decision-making processes.