At a Glance
- Tasks: Lead a team of data scientists to drive product strategy and analytics for Meta's Shops Ads.
- Company: Join Meta, a leader in tech innovation and analytics.
- Benefits: Competitive salary, career growth, and a world-class analytics community.
- Other info: Dynamic role with opportunities to influence product direction and mentor others.
- Why this job: Make an impact with data on products used by millions globally.
- Qualifications: 4+ years in analytics, team management, and strong technical skills required.
The predicted salary is between 80000 - 100000 £ per year.
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 prioritising 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 as 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.
Monetisation Data Science Manager - Lead with Analytics employer: Meta Platforms, Inc.
Meta is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to lead impactful projects. With a strong focus on professional development, you will have access to a world-class analytics community dedicated to enhancing your skills and advancing your career. Located in a vibrant environment, Meta offers unique opportunities to collaborate with diverse teams and influence product strategies that reach millions globally.
StudySmarter Expert Advice🤫
We think this is how you could land Monetisation Data Science Manager - Lead with Analytics
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. This is your chance to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. We recommend using the STAR method to structure your answers and showcase your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Monetisation Data Science Manager - Lead with Analytics
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your experience with data querying languages and analytical projects. We want to see how you've used data to drive decisions and influence product strategy in your previous roles.
Tell a Data-Driven Story:When you write your application, focus on how you can communicate insights clearly. We love candidates who can turn complex data into compelling narratives that resonate with stakeholders and drive action.
Highlight Leadership Experience:Since this role involves leading a team, don’t forget to showcase your people leadership skills. Share examples of how you've inspired and grown teams in the past, and how you plan to do the same with us at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our community!
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in the data querying languages and analytical tools mentioned in the job description, like SQL and Python. Prepare to discuss specific projects where you've used these skills to drive product strategy or influence decisions.
✨Tell a Compelling Data Story
Practice how you present your data insights. Instead of just sharing numbers, focus on crafting a narrative that highlights the impact of your findings. This will show your ability to communicate effectively with senior leadership and cross-functional teams.
✨Showcase Your Leadership Skills
Be ready to share examples of how you've led analytics teams or projects. Highlight your approach to mentoring and developing talent, as well as how you inspire your team to achieve high performance. This is crucial for the people leadership aspect of the role.
✨Prepare for Problem-Solving Questions
Expect to tackle hypothetical scenarios related to product challenges. Think about how you would use different analytical approaches to solve these problems. This will demonstrate your critical thinking and creativity in applying data science to real-world issues.
