Manager, Data Science
Job Description
What You'll Do: As a Manager, Data Science, you will collaborate with customers and internal resources to assist in gathering requirements, contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post sale while getting deeply involved into the delivery, monitoring, and reporting of the proposed solutions and data science team performance. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.
You will provide personnel, technical, and project leadership to a team that drives, identifies, evaluates, designs and implements statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings. The data science organization is matrixed in that your team will serve a range of different customers and possess a range of different skill sets that apply to individual projects and broader company innovation and engineering mandates. Successful candidates will have demonstrated mentorship and guidance experience in data science, research and development, and other associated interdisciplinary teams.
As the Manager, Data Science, you will contribute to a variety of areas including:
- Individual contribution and innovation relative to your expertise, interest, and organizational need.
- Participation in team-wide management initiatives around reporting, shared environment development, engineering process initiatives, data cataloging and metadata management, and analysis and implementation of ethical practices in data science.
- Development of metrics and prototypes that can be used to drive business decisions.
- Thought leadership and dependable execution on diverse projects.
- Identification of emergent trends and opportunities for future client growth and development.
- Research and identification of artificial intelligence (AI) methods - including but not limited to machine learning (ML), natural language processing (NLP), GIS, computer vision and image process, and graph construction and analysis.
- Identification of new applications of AI in the context of Thomson Reuters and TRSS content sets.
- Exploration of existing data for insights and recommendations for additional sources of data for improvement.
About you
- A minimum of DHS-granted public trust suitability required, active DOD Secret or Top-Secret clearance preferred.
- A Master's degree or PhD in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).
- 7-10 years of hands-on experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders (education can substitute for some years of experience).
- Programming skills in one or more major programming languages (Python/R/Java).
- Excellent understanding of ML, NLP, and statistical methodologies, as well as a range of data science and data engineering concepts and practices (visualization, network analysis, entity resolution, development environments and practices).
- Demonstrated personnel leadership (mentorship, support, coaching) and line management experience.
- Demonstrated ability to translate customer needs into well-structured research/project plans.
- Experience as a technical leader, coordinating and guiding the work of others.
- Experience as a project leader, communicating with stakeholders, scoping and delivering project work.
- Ability to obtain and maintain a U.S. national security clearance.
Additional Desired Skills:
- On-prem or cloud-based "big data" analytics, techniques and tools experience (preferred, but not required).
- Previous experience with data modeling and associated technologies (e.g. Neo4j) for graphs (preferred, but not required).
- Experience with experimental design and evaluation methodologies, deep learning, advanced algorithms, and relevance evaluation methodologies (preferred, but not required).
- Established research agenda with peer-reviewed publication record. (preferred, but not required).
COVID-19 Vaccination Status Information Requirement (US employees only):
Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.
Date Posted
09/29/2022
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9
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