remote
Senior Data Scientist III - LexisNexis
Data Scientist
Lead advanced analytics projects, designing and deploying machine learning models on large-scale data platforms using Python, SQL, and AWS to enhance data quality and drive business insights.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to improve data source quality and product performance.
- Collaborate with cross‑functional teams to define data requirements, feature engineering, and model evaluation metrics.
- Leverage AWS services (S3, Redshift, SageMaker) and big data tools (Spark, Hadoop) to process and analyze terabyte‑scale datasets.
- Implement robust data pipelines and automate model monitoring, ensuring reproducibility and compliance with data governance standards.
- Mentor junior data scientists and share best practices in statistical modeling and software engineering.
Requirements
- 10+ years of experience in data science, with a strong background in machine learning and statistical modeling.
- Proficiency in Python, SQL, and experience with AWS data services.
- Hands‑on experience with big data frameworks such as Spark or Hadoop.
- Excellent communication skills and ability to translate complex analytics into actionable insights.
- Experience in a regulated industry or with large enterprise data environments is a plus.
Skills
pythonmachine learningsqlaws