Meta is seeking experienced Data Scientists to shape the future of its products.
Leverage your analytical skills and product intuition to analyze massive datasets and drive product development. Collaborate with cross-functional teams and influence product strategy.
Requires 4+ years of analytics experience, proficiency in data analysis tools, and a bachelor’s in a quantitative field.
- Company: Meta
- Location: Fully Remote, US
- Salary: US$145,000/year to US$204,000/year + bonus + equity + benefits
Shape the Future of Social Technology: Data Scientist, Product Analytics at Meta
Are you passionate about using data to understand user behavior and drive product innovation? Meta, the company behind Facebook, Instagram, WhatsApp, and more, is seeking talented Data Scientists to join our Product Analytics team in a fully remote capacity.
About the Role
As a Data Scientist at Meta, you’ll be a key player in shaping the future of our products. You’ll apply your technical skills, analytical mindset, and product intuition to identify and solve product development’s biggest challenges. You’ll collaborate with cross-functional teams, including Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance, to drive data-informed decision-making and impact product strategy.
This is a fully remote position, offering you the flexibility to work from anywhere in the United States.
Responsibilities
- Data Analysis & Problem-Solving: Work with large and complex datasets to solve a wide array of challenging problems using various analytical and statistical approaches.
- Product Strategy & Impact: Apply your expertise to develop data-driven strategies for Meta’s products. Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key metrics.
- Opportunity Identification: Define, understand, and test opportunities and levers to improve the product and drive roadmaps through your insights and recommendations.
- Cross-functional Collaboration: Partner with Product, Engineering, and other teams to inform, influence, support, and execute product strategy and investment decisions.
- Communication & Influence: Clearly communicate your findings and recommendations through compelling data-driven stories. Build credibility and influence stakeholders with your insights.
Minimum Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
- Experience:
- A minimum of 4 years of work experience in analytics (minimum of 2 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Preferred Qualifications
- Masters or Ph.D. Degree in a quantitative field
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. We’re moving beyond 2D screens towards immersive experiences like augmented and virtual reality to build the next evolution in social technology. People who choose to build their careers at Meta help shape a future that will take us beyond what digital connection makes possible today.
Quick Tips for Applicants: Stand Out as the Ideal Data Scientist
1. Showcase Your Analytical Prowess:
- Go Beyond the Basics: Don’t just list your experience with data analysis tools and techniques. Instead, provide specific examples of projects where you’ve applied your skills to solve complex problems, uncover insights, and drive data-driven decisions.
- Quantify Your Impact: Whenever possible, quantify the impact of your work. For example, did your analysis lead to a specific percentage increase in user engagement or revenue? Did your model improve efficiency by a certain amount? Numbers speak volumes!
- Highlight Your Expertise: Showcase your deep knowledge of statistical modeling, machine learning, and other relevant techniques. Share examples of how you’ve applied these methods to real-world datasets and the challenges you overcame.
2. Demonstrate Your Product Intuition:
- Connect Data to Product: Meta is looking for data scientists who understand how to translate data insights into product improvements. Share examples of how you’ve used data to identify user needs, optimize features, or inform product strategy.
- User-Centric Approach: Demonstrate your understanding of user experience (UX) principles and how data can be used to enhance the user journey. Highlight any experience you have with A/B testing, user research, or product design.
- Think Like a Product Manager: Showcase your ability to think strategically about product development, identify opportunities for innovation, and prioritize features based on data and user feedback.
3. Emphasize Your Communication and Influence Skills:
- Storytelling with Data: The ability to communicate complex data insights in a clear and compelling way is crucial. Share examples of how you’ve presented findings to diverse audiences, using visualizations and storytelling techniques to make your data come alive.
- Influence and Persuasion: Demonstrate your ability to influence stakeholders and drive decision-making with data. Highlight instances where your insights have led to changes in product strategy, investment decisions, or other key outcomes.
- Build Credibility: Showcase your ability to build credibility and trust with stakeholders through clear and concise communication, thoughtful analysis, and a data-driven approach.
4. Highlight Your Experience with Relevant Tools and Technologies:
- Technical Proficiency: Meta values proficiency in data querying languages (SQL), scripting languages (Python), and statistical/mathematical software (R). Highlight your expertise in these tools and any other relevant technologies you’ve used, such as data visualization tools (Tableau, Looker) or machine learning frameworks (TensorFlow, PyTorch).
- Data Wrangling: Demonstrate your ability to work with large and complex datasets, including data cleaning, transformation, and feature engineering.
- Cloud Computing: If you have experience with cloud platforms like AWS or GCP, be sure to mention it. Meta’s infrastructure relies heavily on cloud technologies.
5. Express Your Passion for Meta’s Mission and Products:
- Connect with the Mission: Meta is committed to connecting people and building the next evolution in social technology. In your cover letter, convey your genuine enthusiasm for this mission and your desire to contribute to their impactful work.
- Product Passion: Showcase your interest in Meta’s products (Facebook, Instagram, WhatsApp, etc.) and your understanding of how data science can be used to improve the user experience and drive product innovation.
- Stay Informed: Stay up-to-date on the latest developments and trends in the social media and technology landscape. This will demonstrate your genuine interest in Meta and its future.
By following these tips, you can create a compelling application that showcases your skills, experience, and passion for data science, making you a stand-out candidate for the Remote Data Scientist, Product Analytics role at Meta.
Benefits & Compensation
- Competitive Salary: US$145,000/year to US$204,000/year
- Additional Compensation: Bonus, equity, and benefits.
- Comprehensive Benefits: Meta offers a wide range of benefits, including health insurance, paid time off, and more.
- Support & Inclusion: Meta is committed to providing reasonable accommodations for candidates with disabilities or other needs.
Ready to find a career with purpose?
At F5 Remote Jobs, our mission is to connect talented professionals from around the world with the best remote job opportunities offered by top companies in the United States. In an increasingly digital world, we believe the future of work lies in flexibility and the ability to work from anywhere.