Senior Manager, Data Science - Public Sector
Job Summary
Job Description
Dun & Bradstreet is seeking a Senior Manager, Data Science for its Public Sector team. The role involves tackling complex problems using Generative AI, Machine Learning, and econometric approaches with large datasets. Responsibilities include leading the development of solutions leveraging Generative AI, vector search, classification, and geo-spatial methods, as well as developing approaches that blend econometric, sampling, time series, and ML methods with economic theory. The role also requires preparing publication-quality reports, communicating analytical results to stakeholders, and leading modeling engagements. The Senior Manager will advise and mentor team members, ensuring timely project delivery. A key aspect is developing team members' knowledge of AI and data sources to create algorithms that meet business needs.
Must have:
- 5-10 years of experience in Economics, Econometrics, Statistics, Mathematics, or Computer Science with quantitative specialization.
- Proficiency in Python/Pyspark, SQL, and Linux/command line.
- Experience with Generative AI and vector search for large-scale unstructured data.
- Strong collaboration, communication, and project management skills.
- Ability to communicate complex ideas to technical and non-technical audiences.
Good to have:
- Ability to work with GPUs and VMs.
- Experience with data science tools like Jira, Git, Confluence.
- Familiarity with leading working sessions on new developments in Generative AI and agentic approaches.
Perks:
- Generous paid time off
- Up to 16 weeks 100% paid parental leave
- Paid sick time
- Education assistance and training resources
- Paid volunteer days and donation matching
- Competitive 401k with company matching
- Health & wellness benefits
- Medical, dental & vision insurance
14 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.
As a people manager and data science econometrician focused on Dun and Bradstreet’s Public
Sector team, you should love tackling hard problems utilizing Gen AI, Machine Learning, and
econometric approaches using large datasets.
The Senior Manager, Data Science - Public Sector will be enthusiastic to learn new methods and technology and directly mentor others in the career.
The Senior Manager, Data Science - Public Sector will serve as an expert in your respective domain, learn from others skilled in other domains, and train and support individuals in developing technical expertise to solve business and policy relevant problems.
Key Responsibilities:
- Lead the development of solutions that use Generative AI, vector search, classification and geo-spatial methods and drive innovation and adoption in these areas.
- Develop approaches that leverage econometric, sampling, time series and ML (including deep learning) methods blended with economic theory covering topics including but not limited to causal inference and spatial economics for use as products.
- Prepare drafts of publication quality economic reports/commentaries/papers/presentations based on public sector data science solutions, and lead and participate in drafting RFIs and RFPs on topics of specialization.
- Communicate analytical results in terms that are meaningful to business managers and senior leadership internally and externally.
- Lead and participate in all aspects of ongoing modeling engagements, including stakeholder management, design, development, validation, calibration, documentation, approval, implementation, monitoring, visualization, and reporting.
- Serve as an advisor to members of your team and empower individuals to take ownership of their projects delivering on-time and meeting business requirements.
- Develop and train individuals to have working knowledge of how current systems and data sources are used in existing AI (e.g., generative and causal) related and other projects; drive timely retrieval of analytics data from existing system to create algorithms that meet business needs.
Required skills:
- 5 to 10 years of experience with a degree in Economics, Econometrics, Statistics, Mathematics, or Computer Science with a quantitative specialization.
- Programming (Python/Pyspark, SQL, Linux/command line) skills are required.
- Ability to work with GPUs, VMs, and data science tools like Jira, Git, Confluence strongly preferred.
- Lead projects involving large-scale unstructured data using Generative AI and vector search methods to extract insights and drive innovation.
- Keep up with and lead working sessions with data scientists and econometricians on the new developments in Generative AI, agentic approaches to problem-solving, and their practical implementation in code.
- Ability to work on an interdisciplinary and cross-functional team.
- Strong collaboration and communication abilities (including writing) and project management skills.
- Ability to effectively communicate complex ideas to both a technical and non-technical audience.
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 with company matching.
· Health & wellness benefits, including discounted Wellhub 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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Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.
Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.
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