Senior Data Scientist - Availability

National Association for Business Economics; Deutschland; Remote; EUR 145.000 - 615.000; Vollzeit

Zusammenfassung

A leading entertainment service is seeking a Senior Data Scientist focused on improving infrastructure availability. In this role, you'll develop metrics, collaborate with various teams, and communicate insights effectively. The ideal candidate excels in metric research, statistical modeling, and has strong scripting skills, particularly in Python. A competitive salary structure and comprehensive benefits are offered for this full-time position.

Leistungen

Health Plans

401(k) Retirement Plan

Flexible time off

Qualifikationen

• Experienced in metric development and measurement for distributed systems.
• Fluent in at least one analytics and scripting language like Python.
• Passionate about using data to guide strategic decision making.

Aufgaben

• Develop metrics to measure the reliability and performance of infrastructure.
• Partner with teams to productionize availability metrics and dashboards.
• Conduct root cause analysis of availability issues and recommend solutions.

Kenntnisse

Metric development and measurement

Fluent in Python

Engineering data pipelines

Root cause analysis

Exceptional communication

Tools

SQL

Apache Airflow

Jobbeschreibung

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.

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 $170,000 - $720,000.

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.

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.