Data Scientist II, Experimentation

🕒 May 18

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Zigsaw

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

📋 Description

• Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities. • Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent • Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape. • Consult with product data science teams to debug, design or improve their experiments and experimentation process.

🎯 Requirements

• PhD in a relevant field (stats, applied math, biostatistics, etc…) OR 2+ years of hands-on experience working as a data scientist or applied scientist. • Experience working directly on experimentation problems and an awareness of state of the art methodologies. • The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members. • Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment. • Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows.

🏖️ Benefits

• Flexible work arrangements • Professional development