Senior Data Scientist

3 weeks ago

Newark, United States ZAR IT Solutions Full time
Job DescriptionJob DescriptionSenior Data Scientist, Product and Insights

Candidate must have the breadth and depth in various domains like Marketing Measurement, Causal Inference. Experience with graph neural networks, reinforcement learning. Experience with MCMC would be best.

Description:
Good storytelling starts with great listening. At Client, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.

About this role
The objectives of this fixed term contract are to 1) operationalize Client's existing Multimedia Mix Model (MMM) framework to cover all current Client marketplaces 2) automate the data ingestion and orchestration of the model framework to ensure timely delivery of measurement and 3) deliver data science artifacts to improve the performance of the model.

About the team
Client data science team partners with marketing, content, product, and technology partners to solve business and technology problems using scientific approaches to build product and services that surprise and delight our customers. We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience. We operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.
 
About you
We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in ML, 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 Amazon-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, ML experts, engineers as well as business across globe, and on cross-disciplinary efforts with other scientists within Amazon.
·         Contribute to the growth of the Client Data Science team by sharing your
          ideas, intellectual property and learning from others.
 
About Client
At Client, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Client's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word. Client offers a Hub+Home hybrid workplace model that gives employees flexibility. 

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.
 

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