Data Scientist, Product Analytics - Machine Learning

Meta - New York, NY

Full-time - Mid Level

New York, NY

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About the position

As a Machine Learning Data Scientist at Meta, you will engage in applied machine learning work that influences the development of products across various applications including Facebook, Instagram, Messenger, and WhatsApp. Your role will involve collaborating with cross-functional teams to address product and business challenges using data-driven insights and machine learning solutions. You will be responsible for shaping product strategies, guiding teams with analytics, and communicating findings effectively to influence decision-making.

Responsibilities

• Partner with cross-functional engineering and product teams to derive quantitative understanding of Meta's ML infrastructure and ML applications.
• Define, understand, and test opportunities to improve the product through ML models and applications.
• Drive ML-modeling roadmaps through insights and recommendations.
• Build ML prototyping solutions.
• Work with large and complex data sets to solve challenging problems using various analytical and statistical approaches.
• Identify and measure success of product efforts through goal setting and monitoring of key product metrics.
• Inform, influence, support, and execute product strategy and investment decisions.

Requirements

• A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) focusing on ML Modeling, Ranking, Recommendations, or Personalization systems.
• Bachelor's degree in Mathematics, Statistics, or a relevant technical field, or equivalent practical experience.
• Experience with machine learning techniques applied to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets.
• Proficiency in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).