Senior Applied Scientist /Data Scientist

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Requirements:

• Hands-on experience building production-level ML and data products.
• Expert-level understanding of data science topics.
• At least two years experience as an applied scientist / data scientist / ML engineer.
• MS or PhD in computer science or a quantitative discipline or equivalent experience.
• Experience writing production-level Python code and reasoning about algorithmic efficiency.
• Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Ability to design and apply ML models to solve business problems.
• Effective communication skills with scientists, engineers, and product managers.
• Ability to analyze and interpret model results for performance improvement.
• Proficiency in complex data analysis using SQL/Jupyter notebook.

Responsibilities:

• Design and maintain machine learning models to optimize campaign targeting.
• Model key performance advertising metrics like conversion rates and click-through rates.
• Improve systems that optimize campaign performance and pacing.
• Implement machine learning pipelines on Google Cloud Platform.
• Write and ship production-level Python code.
• Execute complex SQL queries for data extraction and transformation.
• Collaborate with applied scientists, engineers, and product managers.
• Document code and processes for maintainability.
• Participate in the Agile development lifecycle.