Our Client, a Tech Giant in the publishing space, is looking to hire a Senior Data Scientist, Product and Insights (TEMP)
All potential candidates should read through the following details of this job with care before making an application.
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 the 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.
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