Thomson Reuters
10,000+ employees
Founded 2008
💼 Consulting
⚖️ Legal
🛡️ Insurance
Consulting • Legal • Insurance
Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.
Data Scientist
Job not on LinkedIn
🕒 July 10
⚔️ Virginia – Remote
💵 $102.2k - $189.8k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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Thomson Reuters
10,000+ employees
Founded 2008
💼 Consulting
⚖️ Legal
🛡️ Insurance
Consulting • Legal • Insurance
Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.
📋 Description
• Develop and optimize predictive models and machine learning solutions for analyzing unstructured data • Collaborate with engineering and research teams to design, build, and deploy scalable predictive systems • Apply statistical and machine learning techniques to extract insights and improve platform performance • Guide the data pipeline architecture with a focus on robustness, scalability, and reproducibility • Provide thought leadership on emerging data science trends
🎯 Requirements
• A Bachelor’s or Master’s degree in a quantitative field • 3-5 years of experience in data processing, analysis, and machine learning development • Proficiency in Python and experience with structured and unstructured data • Strong understanding of machine learning, NLP, computer vision, and statistical methodologies • Hands-on experience with Bash, SQL, and Docker
🏖️ Benefits
• Flex My Way, supportive workplace policies to manage responsibilities • Comprehensive benefit plans including flexible vacation, mental health days, retirement savings, tuition reimbursement • Employee incentive programs and wellness resources
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