• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 18th Jan 2024

The objectives of this fixed term contract are to

1) operationalize 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.

3) deliver data science artifacts to improve the performance of the model.

About the team

The 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.

· Contribute to the growth of the Data Science team by sharing your ideas, intellectual property and learning from others.

Preferred Qualifications

· Domain knowledge of comparable products (digital, retail).

· Big Data Engineering with Spark / AWS EMR & Glue.

• Experience with R, RShiny, and Scala.