Data Scientist
New York, NY

Job Description

Overview

Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.

Responsibilities

* Conduct advanced research using sophisticated tools (e.g. Tensorflow, PyTorch) and techniques (e.g. Neural Networks, CNN, RNN) as needed.
* Collaborate with engineering teams to build data-based products and help integrate into products and operational processes.
* Apply machine learning and optimization algorithms to maximize the efficiency of our business and minimize risks.
* Implement and execute machine learning with reliability and reproducibility.
* Reframe objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
* Explain how models and systems work to both non-technical and technical stakeholders.
* Process, cleanse, and verify the integrity of data used for analysis.
* Enhance data collection procedures to include information that is relevant for creating better ML models.
* Create automated anomaly detection systems and constant tracking of its performance.

Qualifications

Basic Qualifications:

* 2+ years of experience as a Data Scientist in technology sector.
* Demonstrated delivery of machine learning techniques in real-time applications.
* Expertise in modern statistics/data science/machine learning.
* Expertise in Python and SQL.
* Experience with research in Deep Learning, Natural language Processing, Neural Networks, and/or Bayesian modeling.
* Experience with Spark, Kubernetes, H2O.
* Experience with AWS and/or GCP.
* Experience with delivery in an Agile Delivery Environment.
* Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate.
* Demonstrated ability to present data science results and recommendations to business and technical clients.

Required Education

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