onsite
Senior Data Science Engineer - T Mobile
Data Scientist
Lead end‑to‑end data science projects, building scalable ML pipelines on AWS, leveraging Python, SQL and advanced analytics to drive advertising insights and revenue growth.
About the role
Key Responsibilities
- Design, develop and maintain production‑grade machine learning pipelines using Python, SQL and AWS services (S3, Redshift, SageMaker).
- Collaborate with data engineers to ingest, clean and transform large advertising datasets, ensuring data quality and accessibility.
- Build and evaluate predictive models (classification, regression, recommendation) to optimize campaign performance and customer targeting.
- Deploy models to production, monitor performance, and iterate for continuous improvement.
- Communicate findings and actionable insights to cross‑functional teams through dashboards and reports.
Requirements
- 5+ years of experience in data science or machine learning engineering.
- Proficiency in Python, SQL, and experience with AWS data services.
- Strong background in statistical modeling, feature engineering and model deployment.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Experience with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI) is a plus.
Skills
pythonsqlmachine learningaws