Data Scientist, Netflix

Identity Algorithms

$150-750k

+ Stock option program

SQL

Python

Spark

Hive

Mid, Senior and Expert level

San Francisco Bay Area

Office located in Los Gatos, CA

Streaming service

Job no longer available

Streaming service

1001+ employees

B2CContentSubscriptionEntertainmentDigital MediaSaaS

Job no longer available

$150-750k

+ Stock option program

SQL

Python

Spark

Hive

Mid, Senior and Expert level

San Francisco Bay Area

Office located in Los Gatos, CA

1001+ employees

B2CContentSubscriptionEntertainmentDigital MediaSaaS

Company mission

Entertainment, like friendship, is a fundamental human need; it changes how we feel and gives us common ground. Netflix is better entertainment at lower cost and greater scale than the world has ever seen. They want to entertain everyone, and make the world smile.

Job

Company

Role

Who you are

The ideal candidate will excel in opportunity discovery, experimentation & causal inference studies, cross-functional & cross-domain collaboration, and share a passion for enabling more at-scale data science applications to continuously improve the holistic understanding of our consumers
A highly skilled professional with expertise in product knowledge and intuition, ideally applied in consumer product development settings
A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings
Proficient in quantitative programming languages, such as Python or R
Skilled in SQL and familiar with distributed data stores like S3, Presto, Hive, and Spark
Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships
Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact
Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development
Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment
Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes
Experience in building real-world machine learning models with demonstrated impact is a plus
Familiarity with software engineering practice and working with APIs is a plus

What the job involves

We are looking for a Senior Data Scientist to support the vision, strategies, and development of new systems that provide intelligence about our consumers
This high-impact role will be pivotal in uncovering opportunities, influencing product decisions, and informing future directions
Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations
Proactively identify and perform data exploration to inform future product directions
Make data-driven recommendations for opportunities, prioritization, and resource allocation
Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items
Effectively identify and apply analytics, experimentation, and causal inference techniques for business problems
Develop and validate the appropriate metrics to measure success in a given product area
Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc
Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc
Present your research and insights to all levels of the company

Our take

Netflix was started when one of the co-founders had received a $40 late fee after failing to return a film on time. Now, Netflix is one of the fastest growing technology companies, reinventing the entertainment space by providing high quality content for low fees.

This is becoming an increasingly competitive space, with deep-pocketed rivals including Amazon, Disney, Apple and AT&T. They are all spending big on content and pricing cheaply in a battle to win subscribers.

After a dwindling number of subscribers due to tough competition in 2022, Netflix is focused and committed to improving its core service which is its TV, movies and now games going forward. Post-IPO funding of $183 million from Winslow Capital at the end of 2023 followed the previous year's dumping of shares by the same company after Netflix's first loss of subscribers. This capital indicates a shifting perspective on Netflix's outlook, which saw a year-end subscriber boost.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.4)

Company

Funding (last 2 of 6 rounds)

Apr 2000

$50m

SERIES E

Jul 1999

$30m

SERIES D

Total funding: $103.5m

Company benefits

Work from home opportunities

Company HQ

Los Gatos, CA

Leadership

Reed Hastings

(Chairman)

Served two years with the Peace Corps in Switzerland. Studied Computer Science at Stanford, and founded Pure Software (which sold for a substantial profit before Netflix). Previously a Board Member at Microsoft and Facebook.

Greg Peters

(Co-CEO)

Previously Netflix COO and CPO, SVP and CE of Product Development at Macrovision, VP of Engineering at Mediabolic, Director at Redhat inc, VP Engineering at NOCpulse.

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