Data Scientist 5 - Availability
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Everything that we build to delight our members relies on our extensive technical infrastructure, which spans from services we rent from AWS to our custom-built content delivery network, Open Connect. Keeping our internal platforms, services and infrastructure stable is crucial to delivering a great member experience.
As a Senior Data Scientist focused on Infrastructure Availability you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to create metrics, build tools, perform analyses and make recommendations on how to improve the reliability and availability of our systems using data. You will work closely with partners in data science, software engineering, performance engineering and technical product management to develop metrics to assess current performance across systems and product domains, define what adequate performance looks like, understand the root causes of availability issues, and make recommendations for how the business should prioritize system performance improvements.
The ideal candidate will excel in metric research & development, statistical modeling, causal inference, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.
To learn more about our team, read here.
In this role, you will:
Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
Connect with the larger analytics community at Netflix to bring more visibility to our work.
You are:
Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
Fluent in at least one analytics and scripting language like Python.
Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow.
Passionate about using data to help guide strategic decision making.
An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
Comfortable with ambiguity, and thrive with minimal oversight and process.
A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170 - $720.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
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Data Scientist 5 - Availability
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Everything that we build to delight our members relies on our extensive technical infrastructure, which spans from services we rent from AWS to our custom-built content delivery network, Open Connect. Keeping our internal platforms, services and infrastructure stable is crucial to delivering a great member experience.
As a Senior Data Scientist focused on Infrastructure Availability you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to create metrics, build tools, perform analyses and make recommendations on how to improve the reliability and availability of our systems using data. You will work closely with partners in data science, software engineering, performance engineering and technical product management to develop metrics to assess current performance across systems and product domains, define what adequate performance looks like, understand the root causes of availability issues, and make recommendations for how the business should prioritize system performance improvements.
The ideal candidate will excel in metric research & development, statistical modeling, causal inference, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.
To learn more about our team, read here.
In this role, you will:
Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
Connect with the larger analytics community at Netflix to bring more visibility to our work.
You are:
Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
Fluent in at least one analytics and scripting language like Python.
Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow.
Passionate about using data to help guide strategic decision making.
An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
Comfortable with ambiguity, and thrive with minimal oversight and process.
A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170 - $720.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.