Proven track record of designing and developing scalable analytic tools and systems
High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Streamlit, Tableau)
Familiar with fundamentals of Statistical Inference and Data Analysis as well as data engineering best practices
5+ years of relevant experiences with building data products powered by big data
Exceptional communication and collaboration skills coupled with strong business acumen
Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
Netflix culture resonates with you
What You'll Be Doing
Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions
Drive the direction and execution of your work, which span from developing scrappy analytic tools to designing scalable analytic systems
Partner closely with other engineers and scientists to improve foundational data models and accelerate productization of data insights
Share your innovation and collaborate with the broader community to strengthen analytics enablement
Become a regional expert on Globalization Data Science and Engineering, helping educate and connect with regional offices
Nice to Haves
No specific nice to haves mentioned in the description
Perks and Benefits
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams