Data Scientist (Technical Leadership)

Meta; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

Meta is seeking an experienced Data Scientist to join across a variety of product areas including Facebook, Instagram, Messenger, and more. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, and Finance to solve complex problems.

You will use data and analysis to identify opportunities, influence product strategy and investment decisions, and contribute to the analytics community focused on skill development and career growth.

Qualifications

• Experience using data analysis to solve product challenges.
• Ability to collaborate with cross-functional partners across multiple teams.
• Proven problem-solving skills with data-driven decision making.

Responsibilities

• Collaborate on product and technical problems with cross-functional partners across Product, Engineering, Research, Data Engineering, and Finance.
• Use data and analysis to identify opportunities and influence product strategy and investments.

Skills

Data analysis

Cross-functional collaboration

Problem solving

Job description

Summary:

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products