Director of Data Science and AI
USA-Frisco-6160 Warren Parkway
Full Time Executive-level / Director USD 173K - 321K
Thomson Reuters
Thomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.The Director of Enterprise Data Science will lead a newly formed team driving measurable business value through sophisticated data science and AI/ML solutions. Reporting to the VP of Enterprise Analytics, this highly visible leader will evolve the impact of data science and AI/ML at TR by identifying the highest impact business opportunities, leading the full model development and deployment lifecycle, and evangelizing the measurable business value delivered by the Data Science team.
About the Role:
Leads a global team of newly centralized data science talent (8-10 FTEs)
Oversee the design, development, and deployment of AI/ML solutions for various business domains through all stages of the ML workflow, including data ingestion and manipulation, model building, and model operations
Identify and prioritize enterprise AI use cases, and define short and long term AI roadmap aligned with broader organizational goals
Optimize data science and AI portfolio to drive incremental business and customer value
Work with partners across organizations to improve data infrastructure, enrich data and improve data quality to support ML solutions at scale
About You:
10+ years hands-on experience developing data science and AI/ML solutions, including full lifecycle model management and model portfolio optimization
Minimum of 5+ years of experience building and retaining a high-performing and diverse Data Science team.
Bachelor’s degree in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative field. Master’s/PhD a plus.
Demonstrated leadership managing high visibility cross-enterprise projects
Strong background in Machine Learning with hands-on experience in building and implementing large-scale ML models
Expertise with ML modeling techniques (e.g., deep learning, gradient boosting, graph, NLP / LLM, regression, clustering etc.)
Strong written and oral presentation skills and able to communicate sophisticated concepts to various audience
Able to effectively balance operational and strategic needs
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What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
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 26,000 employees across more than 70 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.
Tags: Classification Clustering Computer Science Data quality Deep Learning Economics LLMs Machine Learning Mathematics ML models NLP PhD Research Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Fitness / gym Flex hours Flex vacation Health care Insurance Paid sabbatical Parental leave Salary bonus Startup environment
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