Data Scientist - Geospatial Inference and Machine Learning Facebook
Seattle, WA

Job Description

Marketing Science R&D is an interdisciplinary team of data scientists focused on research that improves measurement and ads delivery on our platform. The team's expertise spans domains, including causal inference, survey methodology, machine learning, cryptology, location and identity prediction algorithms. We develop methodologies, design and prototype solutions, and partner with our engineering and product colleagues to scale these solutions such that millions of advertisers can benefit.

We're looking for researchers and data scientists with expertise in geospatial inference that can develop new methodologies and frameworks to build robust inferences from a diverse array of location signals. Team members will pursue deep technical knowledge of our ads, measurement and location infra systems at Facebook, and research new frameworks and algorithms such that we can advance the state of location-based inferences while maintaining a focus on security and privacy principles.

RESPONSIBILITIES

* Research opportunities to leverage new data sources, algorithms, or technologies to improve geospatial inferences made upon a diverse array of location data



Design and develop prototypes with scalable validation frameworks for ongoing evaluation

Work both independently and build cross-functional relationships with Engineering, Product and Analytics to shape long-term product roadmaps with a balance of technical rigor and strategic considerations

Learn new tools, systems and languages quickly as required by the particular project you are working on

Apply excellent communication skills to engage diverse audiences on technical topics and nuanced insights

MINIMUM QUALIFICATIONS

* PhD in Computer Science, Engineering, Statistics or related field, or a Master's within one of these fields combined with 3+ years of hands-on research experience in the internet or advertising industry architecting and implementing location-focused solutions



Knowledge in Python

Knowledge in machine learning and advanced statistical modeling

Knowledge in location-related patents, conference presentations, academic papers or other indicators of research proficiency in industry-grade location

PREFERRED QUALIFICATIONS

* Experience with online advertising, targeting, optimization and measurement systems



Applied experience leveraging experimentation platforms, causal inference, and survey measurement

Experience with developing and debugging in Python with PyTorch, TensorFlow, Caffe, or related frameworks

Applied experience with R and Presto, Hive or Spark SQL

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