Senior Applied 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 of experience as an applied scientist, data scientist, or ML engineer.
• MS or PhD in computer science or a quantitative discipline, or equivalent experience.
• Experience writing and putting Python code into production.
• Strong knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.
• Ability to design and apply machine learning models to solve business problems.
• Effective communication skills with applied scientists, data scientists, engineers, and product managers.
• Ability to evaluate, analyze, and interpret model results.
• Proficient 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.
• Use metrics to automate estimation of campaign bids and budgets.
• Improve systems that optimize campaign performance and pacing.
• Implement machine learning pipelines on Google Cloud Platform.
• Write and ship production-level Python code.
• Write and execute complex SQL queries to extract and transform data.
• Collaborate with other applied scientists, software engineers, and product managers.
• Document code and processes for future reference and maintainability.
• Participate in the entire Agile development lifecycle.