Data Science and Engineering Expert

5 dagen geleden

Amsterdam, Noord-Holland, Nederland Netflix Voltijd
Company Overview
Netflix is a global leader in entertainment, with 270 million paid memberships in over 190 countries. Our mission is to entertain the world, and we're always looking for talented individuals to join our team.

Salary
The estimated salary for this position is $140,000 - $170,000 per year, depending on experience and qualifications.

About the Role
We are seeking an experienced Analytics Engineer to join our Data Science and Engineering team in Amsterdam. As an Analytics Engineer, you will play a key role in driving insights across our ML ecosystem, collaborating with business teams to identify critical analytical problems, and designing innovative solutions using data.

Key Responsibilities:
  • Amplify impact of ML models through analytics, driving insights that shape long-term execution roadmaps against our strategy.
  • Partner with business teams to identify critical analytical problems, applying an entrepreneurial mindset to find innovative solutions using data.
  • Metric design: spearhead the creation of new metrics to inform decision-making and improve operational efficiency.
  • Regional expertise: become an expert on all things related to our Data Science & Engineering efforts, helping educate and connect regional offices to existing and new data solutions.


What We Are Looking For
To succeed in this role, you will need:
  • Able to develop and deepen strong relationships with a wide variety of stakeholders and have a proven track record of influencing strategic decisions through data.
  • Able to thrive with minimal oversight and process, connecting the dots across business needs and independently driving projects forward.
  • Proven experience with ML models and an understanding of modern ML algorithms, enabling effective collaboration with ML researchers and engineers.
  • A senior analytics professional with extensive experience in data wrangling, analysis, reporting, and visualization.
  • An expert in data-oriented programming languages, including Python and SQL, and intuitive dashboard/visualization design (Tableau). Proficient in ETL processes and data warehousing best practices.
  • Experienced at working across different cultures on a globally-distributed team, with core working hours in the Central European and GMT time zones.


Culture
At Netflix, you will have the opportunity to impact the business in a meaningful way, working alongside smart people who love to solve hard problems. You will have the freedom to innovate, solve interesting problems, and influence decision-making in a fast-paced, exciting environment.

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