Senior Statistical Modeler

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $104.9k - $174.7k / year

⏰ Full Time

🟠 Senior

👻 Ghost score 5%

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Develop and implement analytics and AI solutions supporting business and product objectives • Execute complex analytical work and translate defined problem statements into scalable machine learning solutions across the full modeling lifecycle • Apply statistical, mathematical, predictive modeling, and business analysis skills to complex data from multiple sources • Develop and maintain infrastructure connecting internal datasets • Create data collection frameworks for structured and unstructured data • Interpret business challenges and recommend best practices to improve products, processes, and services • Train and mentor junior staff • Serve as a subject-matter expert to clients • Collaborate with engineering, product, and platform teams • Communicate analytical insights to technical and non-technical stakeholders

🎯 Requirements

• Proven Data Science experience; advanced academic experience such as a Master’s degree in a related discipline may substitute for part of the required experience • Solid experience applying machine learning and statistical techniques to real-world problems • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models • Experience evaluating model performance using statistical and machine learning metrics and validation techniques • Experience working with structured and unstructured data at scale • Proficiency in Python and/or R with data science and machine learning libraries such as pandas, NumPy, scikit-learn, XGBoost, and PyTorch • Experience with SQL and relational or cloud-based data platforms • Hands-on experience developing and running data science and AI workloads in AWS and Azure, including compute, storage, monitoring, and cost-aware execution • Exposure to modern AI frameworks and tools, including LLM-based solutions and retrieval-augmented workflows • Experience training, fine-tuning, or evaluating neural network-based models • Experience applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows • Ability to independently execute complex analytical work within defined scope • Clear and effective communication of technical ideas to non-technical audiences

🏖️ Benefits

• Annual incentive bonus • Country-specific benefits • Disability accommodations and support during the hiring process

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