Data Scientist, Product Analytics

vor 11 Stunden

Zürich, Schweiz Meta Vollzeit
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Data Scientist, Product Analytics Responsibilities:
  • Defining new opportunities for product impact and influencing product and sales to solve the most impactful market problems.
  • Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products.
  • Work as a key member of the product team to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams.
  • Set KPIs and goals, design and evaluate experiments, monitor key product metrics, and understand root causes of changes in metrics.
  • Conduct exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends, and identifying levers to help move key metrics.

Minimum Qualifications:
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
  • 4+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
  • 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment design, and communicating actionable insights].

Preferred Qualifications:
  • Master's or Ph.D. Degree in a quantitative field.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr

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