Data Science Manager, Monetisation

Key Skills

Data science techniques, Leadership Skill, Python Programming, R Programming, SQL

Job Description

You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in 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 influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

About the role:

Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.

Analytics: You will guide Ads product teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.

Data Science Manager, Monetisation Responsibilities

• Lead a team of Data Scientists to develop strategies for Meta's Shops Ads products that serve hundreds of millions of people, businesses, and partners around the world
• Drive analytics projects end-to-end ass part of a cross-function team across Product, Engineering, and Analytics. These projects will be used to drive product strategy, influence investment decisions, and support efficient execution
• Leverage analytics and product insights to influence senior leadership and drive product direction
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Identify and measure success of ads product efforts through goal setting, measurements, and understanding of key product metrics to inform product team direction
• Discover, define, understand, and test different levers for driving product improvements, utilising these insights to steer the direction taken in product
• Contribute towards the advancement of Data Science as a discipline at Meta, including but not limited to driving data best practices, improving analytical techniques, scaling knowledge, and mentoring other Data Scientists

Minimum Qualifications

• A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications

• Bachelor degree or equivalent in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
• Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
• Proven track record of leading high-performing analytics teams
• Experience initiating and completing analytical projects with minimal guidance
• Experience communicating results of analysis to senior leadership