Data Scientist
Job Summary
Job Description
As a Data Scientist at Dun & Bradstreet, you will be instrumental in the Data & Analytics team, participating in all facets of modeling engagements. This includes design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will tackle complex business issues, recommend data-driven solutions, and identify necessary data for growing company initiatives. The role involves leveraging advanced data science techniques like machine learning, Natural Language Processing, and graph analysis to automate and scale internal business processes. You will also be responsible for maintaining strong relationships with key business stakeholders and clients, simplifying complex concepts for diverse audiences, and developing global analytic solutions.
Must have:
- Utilize data science techniques (ML, NLP, graph analysis)
- Establish strong stakeholder relationships
- Engage clients to develop solutions
- Simplify complex concepts for stakeholders
- Participate in all modeling aspects
- Develop Global Analytic Solutions
- Research business issues and recommend solutions
- Serve as a Subject Matter Expert on models
- Share academic literature and best practices
- Validate performance of risk models
- Drive data retrieval for algorithms
Good to have:
- Master’s Degree or Ph.D. in a quantitative field
- Hands-on experience with modern ML techniques
- Program in Python, R, SQL
- Experience in feature engineering
- Experience working with outside clients
- Manage multiple assignments with challenging timelines
- Work independently and collaboratively
- Excellent communication and presentation skills
- Proficiency in Microsoft Office Suite
- Ownership mindset, problem-solver, curious
- Continuous growth mindset
- Fluency in English and relevant market languages
11 skills required
Job Details
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! Learn more at dnb.com/careers.
The Role:
As part of Dun & Bradstreet's Data & Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun & Bradstreet initiatives.
Key Responsibilities:
- Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and 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.
- Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders.
- Participate in all aspects of a modeling engagement, including design, data requirements, 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, focusing on addressing specific customer needs and use cases.
- Serve as a Subject Matter Expert on predictive models within the 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 cases and go to market strategies.
- 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.
Key Skills
- Master’s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering).
- 7+ years’ operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives.
- Hands-on experience applying modern machine learning techniques.
- Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL).
- Experience in feature engineering, automation, network analysis or Natural Language Processing.
- Experience working with outside clients on statistical engagements.
- Ability to manage multiple assignments, many of which have challenging timelines.
- Ability to work independently, as well as collaborate effectively in a team environment.
- Excellent communication and presentation skills.
- Proficiency in Microsoft Office Suite.
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
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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