onsite
Senior Data Scientist II - LexisNexis Risk Solutions
Data Scientist
Senior Data Scientist leading scalable data solutions, driving customer engagement and marketing performance using Python, SQL, ML, and AWS to deliver real‑time insights across cross‑functional teams.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines and ML models that power real‑time decision making for marketing and customer engagement.
- Collaborate with product, engineering, and analytics teams to translate business requirements into scalable data solutions.
- Implement and optimize data processing workflows on AWS (S3, Redshift, EMR, SageMaker) ensuring high availability and performance.
- Apply advanced statistical techniques and machine learning algorithms to uncover actionable insights and predictive patterns.
- Communicate findings through clear visualizations and dashboards, enabling stakeholders to make data‑driven decisions.
Requirements
- 5+ years of experience in data science or analytics, with a strong focus on scalable data engineering.
- Proficiency in Python, SQL, and experience with AWS data services.
- Hands‑on experience building and deploying ML models at scale.
- Excellent problem‑solving skills and ability to work collaboratively across teams.
- Strong communication skills, able to translate complex technical concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws