Senior Data Scientist Product And Insights

Our Client a Tech Giant in the publishing space is looking to hire a Senior Data Scientist, Product and Insights (TEMP)
About you
We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in Client, DL, NLP, data mining and/or large-scale distributed computation.
As a Senior Data Scientist, you will:

• Develop and validate models to optimize the Who, When, Where and How of all our interactions with customers.
• Develop client-scale data engineering pipelines.
• Imagine and invent before the business asks, and create groundbreaking applications using cutting-edge approaches.
• Develop compelling data visualizations.
• Work closely with other Data Scientists, Client experts, engineers as well as business across globe, and on cross-disciplinary efforts with other scientists within client.Contribute to the growth of the client Data Science team by sharing your ideas, intellectual property and learning from others.

Basic Qualifications

• Modeling, research design experience and exposure to cutting-edge algorithms.
• MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field + 3 yrs relevant experience; or, PhD +1 yr relevant experience.
• Experience with methods for causal inference using longitudinal data and more generally (panel, regression, diff-in-diff, etc.).
• Fluency in English, both written and spoken.
• Fluent in SQL, Python.
• Exposure to software engineering environments (version control, command line…)
• Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions).
• Experience with Docker Container Platform.
• Experience with machine learning methods for Bayesian estimation and inference.
• Experience with Agile Software Development.

Preferred Qualifications

• Domain knowledge of comparable products (digital, retail).
• Big Data Engineering with Spark / AWS EMR & Glue.
• Experience with R, RShiny, and Scala.

Flexible work from home options available.