20 beste vacatures voor de functie van machine learning engineer in zwanenburg (nieuwe medewerkers gezocht)

Senior Data Scientist 5 - Media Science
Netflix —Amsterdam
- SQL
- Python
12 dagen
Senior Data Scientist - Commodity Trading and Risk Management
McKinsey & Company —Amsterdam
- Informatica
- Onderzoek
- Master
Junior Data Scientist
Rewire —Amsterdam Oost
- Fulltime
- Hybride werken
- Engels
- Onderzoek
- Master
Snel solliciteren
Junior Quantitative Researcher
Pinely —Amsterdam
- Fulltime
- Informatica
- C++
- Bachelor
- Verhuisvergoeding
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Senior GenAI Engineer
Curamando —Amsterdam
- € 5.150 - € 6.350 per maand
- Azure
- DevOps
- Databases
Senior Applied Scientist
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Doctor
- Informatica
- Engels
- Budget voor professionele ontwikkeling
Snel solliciteren
Data Science Intern
Metyis AG —Amsterdam
- Fulltime
- Engels
- Master
- Analytisch vermogen
Snel solliciteren
Senior Machine Learning Engineer
Picnic —Amsterdam
- Informatica
- Master
- SQL
- Reiskostenvergoeding
Snel solliciteren
Senior Data Scientist
Effectory —Amsterdam Centrum
- € 70.000 - € 100.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Master
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Staff Machine Learning Engineer, ML Efficiency
Reddit —Amsterdam
- Thuiswerk
- Bediening
- Doctor
- Informatica
Snel solliciteren
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Veneficus B.V. —Amsterdam
- € 3.250 - € 10.000 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- SQL
- Budget voor professionele ontwikkeling
Snel solliciteren
Data Science Consultant
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Flexibele werkuren
Snel solliciteren
AI Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatica
- Azure
- Informatica
Senior Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- Engels
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- Engels
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Informatica
- Engels
- Master
Staff Machine Learning Engineer, Ads Foundational Representations
Reddit —Amsterdam
- Thuiswerk
- Master
- Begeleiding
- Managementervaring
Snel solliciteren

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Senior Data Scientist 5 - Media Science

Netflix -
Amsterdam

Nu solliciteren

Vacaturegegevens

12 dagen geleden

Kwalificaties

Statistiek
Wiskunde
Tableau
SQL
Contentcreatie
Natuurkunde
Python

Volledige vacaturetekst

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.

Our Content business is responsible for weighing trade-offs between budget, schedules, and quality across the movies and shows we produce all around the world. The Media Science DSE team uses data to help the business navigate those decisions with clarity. Our metric frameworks and analysis directly shape how we enable creative teams to produce the best movies and shows for our members.

EMEA is a growing hub within our broader Data & Insights org, and we are looking for a stunning Senior Data Scientist based in Amsterdam to join our growing Studio Production DSE team. In this role, you will partner with Product Management and cross-functional product teams, Finance & Strategy, and Content Operations & Innovation leadership to scale and innovate content creation workflows. Through thoughtful metric research and causal inference modeling, you will have the opportunity to directly influence decision-making around how we produce and innovate on global content production - helping Creatives bring their best vision to life on screen.

As a Senior Data Scientist in this space, you will:

Be the second Applied Inference Data Scientist in Media Science Data Science & Engineering, helping shape how the discipline shows up and drives impact in Studio Production
Be a strategic thought partner for Content & Business Product PMs, Content Operations & Innovation leaders and teams, Finance & Strategy, and AI Innovation & Strategy DSE – scoping ambiguous, greenfield questions and proposing data science approaches where no playbook exists
Identify metric research and causal inference opportunities to assess the impact of media innovation efforts and improve the efficiency and effectiveness of media creation
Help Studio navigate cost, time, and quality trade-offs by delivering research that connects production decisions to member and business outcomes
Own your research agenda end to end - from design and execution on causal analysis through to interpretation and dissemination
Present your research and findings clearly to both technical and non-technical partners, translating complex analysis into decisions leadership can act on
Build and maintain strong partnerships with a variety of business and product stakeholders, working directly with them to introduce and influence data-informed ways of working
Collaborate with exceptional Data Scientists and Analytics Engineers in-region and globally to explore our operational data and uncover insights that help creative teams produce even better shows and movies for our members
Serve as a regional expert on Studio Data Science & Engineering, helping educate and connect regional offices to existing research and data solutions from across the team

About you:

Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative field
5+ years of relevant experience with a variety of causal inference methods, including quasi-experimental designs and managing complexities around smaller sample sizes
Strong statistical knowledge and intuition, utilized in observational causal analysis and applied machine learning settings, with demonstrated business impact
An expert in SQL and Python
Proven track record wrangling data, performing exploratory data analysis, designing metrics and tests, building causal inference solutions, and articulating data stories to deliver meaningful business impact
Strong verbal and written communicator who can develop and deepen effective relationships with a wide variety of stakeholders and communicate technical concepts clearly and concisely to less technical audiences
A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table
Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process
Thrilled about innovating in the Content Production domain via novel experimental techniques and comfortable taking (smart) risks in your work
Extensive experience within the EMEA region, adept at working across different cultures on a globally-distributed team, collaborating with fellow team members and partners to ideate on and deliver impactful research
Netflix culture resonates with you
Plus: Experience creating data products and dashboards such as Tableau
Plus: Designing and analyzing A/B tests

Culture

You will have the opportunity to impact the business 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 our culture at jobs.netflix.com/culture .

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.

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machine learning engineer vacatures in zwanenburg

Senior Data Scientist 5 - Media Science

Senior Data Scientist - Commodity Trading and Risk Management

Junior Data Scientist

Junior Quantitative Researcher

Senior GenAI Engineer

Senior Applied Scientist

Data Science Intern

Senior Machine Learning Engineer

Senior Data Scientist

Staff Machine Learning Engineer, ML Efficiency

Manager Data Science

Data Scientist - QuantumBlack, AI by McKinsey

Senior Machine Learning Engineer / Data Scientist | Financiële Sector

Data Science Consultant

AI Engineer - QuantumBlack, AI by McKinsey

Senior Data Scientist (ML & Statistical Modelling)

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

AI Research Engineer (Model Compression & Quantization)

AI Inference Engineer QVAC (100% remote Worldwide)

Staff Machine Learning Engineer, Ads Foundational Representations

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in zwanenburg

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