All roles

[Remote/WFM] Data Scientist (L5) - Promotional Media - EMEA

Remote · USA Full-time New today

Be a part of something bigger. We're looking for a Data Scientist (L5) - Promotional Media - EMEA - Vacancyglobal! This Remote position offers an immediate start for the right candidate. This position requires a strong and diverse skillset in relevant areas to drive success. The compensation for this role is a competitive salary, reflecting our commitment to attracting the best.

 

 

Our mission at Netflix is to connect global stories with global audiences. When a Netflix member opens our app, we have a few precious moments to help them choose a story that is right for them at that instance. Presenting them evidence – Artwork, Trailers, Synopses – that authentically represents each title and resonates with the member is essential to this effort. Getting this evidence just right for each title is a tall order but our creative strategists, art designers, and video editors are masters of this. Perhaps a more unique aspect of Netflix is that these teams leverage data to inform their decision-making. This is made possible because Netflix UI is a thriving learning machine, personalized via reinforcement learning. Europe is a significant center for our broader Studio and Creative Production teams. We’re looking for a Senior Data Scientist based in our Amsterdam office to join our growing European team. In this role, you would serve as a trusted partner for regional Creative Production leadership. Given this data & insights-rich landscape, we are looking for a highly motivated Senior Data Scientist to partner with teams and product managers. This is an opportunity for you to have direct influence on strategic decisions through technical and thought partnership that will ultimately shape promotional content. As a Senior Data Scientist in this space, you will As a Senior Data Scientist, you will be partnering with a diverse range of cross-functional partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant impact and implications for our users You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning This is a high-impact role in which you will have a direct influence on how product decisions are made Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given problems Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunities Identify, compute and validate the appropriate metrics to measure success in a product area Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc You are Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field 5+ years relevant experience with large scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings Strong product knowledge and intuition - ideally utilized in consumer/ or user interface settings or internally serving technical audiences such as engineers Demonstrated ability to communicate and drive product change Strong SQL skills Strong Quantitative Programming skills in Python or R Ability to work independently and drive your own projects Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels Plus: Experience in building real-world machine learning models with demonstrated impact Plus: Experience creating data products and dashboards such as Tableau Plus: Experience in building causal inference solutions Plus: Familiarity with software engineering practice and working with APIs Netflix culture resonates with you Culture You will have the opportunity to impact in a meaningful way, working alongside smart people who love to solve hard problems, and who not only expect but also foster high performance. You will have the freedom to innovate, solve interesting problems and influence decision-making in a fast paced, exciting environment. You can learn more about the Netflix culture at jobs.netflix.com/culture. We are an equal opportunity employer and celebrate diversity, recognizing that an inclusive work environment builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply!

 

Are You the One We're Looking For?

If you believe you have what it takes, submit your application without delay. We are keen to hear from talented candidates like you.

apply to this job

Related roles

[Remote/WFM] Data Scientist SME

Remote · USA Full-time

[Remote/WFM] Data Scientist - SQL, Python -- REMOTE WORK -- 60702

Remote · USA Full-time

[Remote/WFM] Data Transcription Specialist

Remote · USA Full-time

[Remote/WFM] Data Typing Clerk

Remote · USA Full-time

[Remote/WFM] ( Database Analyst ) UPS Data Entry Jobs ||Remote||

Remote · USA Full-time

[Remote/WFM] database entry job-

Remote · USA Full-time

[Remote/WFM] Database Specialist / Non Profit

Remote · USA Full-time

[Remote/WFM] Database Validation Analyst (Remote/Flexible)

Remote · USA Full-time

[Remote/WFM] Day Off Relief Intake/Milk UF 3rd Shift

Remote · USA Full-time

[Remote/WFM] Daytime Driver - Hiring Immediately

Remote · USA Full-time

Customer Service Representative (CSR)

Remote · USA Full-time

Analyst, Financial Instruments & Technology

Remote · USA Full-time

Experienced Call Center Customer Service Representative – Work from Home Opportunity in Tennessee with Comprehensive Benefits and Professional Growth at arenaflex

Remote · USA Full-time

Immediate Hiring: Support and Service - Careers at Apple

Remote · USA Full-time

Electrical I&C Engineering Analyst

Remote · USA Full-time

Remote Account Manager – Third-Party Marketplace Development & E-Commerce Growth Specialist (Entry Level) – arenaflex Costa Rica

Remote · USA Full-time

Experienced Text Chat Operator (Fully Remote) – Customer Support Assistant

Remote · USA Full-time

Production Planner II - (New England Area)

Remote · USA Full-time

Experienced Live Chat Support Assistant – Remote Customer Engagement for arenaflex

Remote · USA Full-time

Experienced Product Analyst II - Fulfillment Analytics for E-commerce Excellence at DICK'S Sporting Goods

Remote · USA Full-time