onsite
Data Scientist - Snap
Data Scientist
Lead advanced analytics and machine learning initiatives to enhance visual communication products, leveraging Python, SQL, and cloud services to deliver data-driven insights and scalable models.
About the role
Key Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines that power real-time recommendation and content personalization features.
- Collaborate with cross‑functional teams to define business problems, translate them into analytical solutions, and communicate findings to stakeholders.
- Perform exploratory data analysis, feature engineering, and statistical modeling on large, heterogeneous datasets.
- Optimize model performance and scalability using cloud platforms (AWS) and distributed computing frameworks.
- Document methodologies, maintain reproducible codebases, and contribute to internal knowledge sharing.
Requirements
- 5+ years of experience in data science or related fields, with a strong portfolio of production‑grade models.
- Proficiency in Python, SQL, and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience with cloud services (AWS) and data engineering tools (Spark, Hadoop).
- Excellent problem‑solving skills and ability to communicate complex ideas to non‑technical audiences.
- Strong academic background in computer science, statistics, or a quantitative discipline.
Skills
pythonmachine learningdata analysissqlawsdeep learning