Data Scientist
Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Responsibilities
Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation. Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership. Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations. Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions. Work closely with stakeholders, data engineers, and program/product managers to ensure a seamless progress. Educate and influence stakeholders to enhance operational efficiency with empathy. Recommend process improvements based on operational data and user behavior to boost business performance. Mentor team members on data science best practices.
Qualifications
Master's degree (or foreign degree equivalent) in Software Engineering, Computer Engineering, Computer Science, Analytics, or related field and 8 years of work experience in the job offered or related occupation Requires 8 years of experience in the following skills: SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling Managing and analyzing large-scale data using Python, R, or similar languages Experience using visualization tools such as Tableau, PowerBI, or similar Analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis Managing and leading cross-functional projects and teams Experience with machine learning techniques and algorithms Hands-on programming experience in: AI/ML, LLM, NLP, or Statistical modeling and Statistical analysis and experimental design
Compensation: $226,527/year to $235,400/year + bonus + equity + benefits