onsite
Data Scientist - Minerva
Data Scientist
Lead the development of AI-driven marketing analytics, building scalable data pipelines and predictive models to empower marketers with actionable insights using Python, SQL, and AWS services.
About the role
Key Responsibilities
- Design, implement, and maintain end-to-end data pipelines that ingest, clean, and transform large volumes of first‑party marketing data.
- Develop and train machine learning models for audience segmentation, campaign optimization, and predictive attribution.
- Collaborate with product and engineering teams to integrate models into production services and AI agents.
- Leverage AWS services (S3, Redshift, SageMaker) to build scalable, secure data infrastructure.
- Utilize OpenAI APIs to enhance model performance and automate data processing tasks.
Requirements
- 3+ years of experience as a data scientist or data engineer in a fast‑paced tech environment.
- Proficiency in Python, SQL, and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience building data pipelines on AWS (Glue, Lambda, Redshift).
- Strong analytical skills with a track record of deploying production‑ready models.
- Excellent communication skills and ability to translate complex insights into business value.
Skills
pythonmachine learningsqlaws