Location: New York, United States
Comp Range: 150k -170k
We serve creative, business and media customers in over 200 countries, we are the first place people turn to discover, purchase and share moving content from the world's best artists and creatives.
You will be instrumental in the development and deployment of full-stack Machine Learning pipelines. You will develop and ship code in our production environment, and will be empowered to implement a variety of data-centric architectures that are vital to our critical operational initiatives.
A team of highly-collaborative and curious Data Scientists and Data Analysts that are comfortable working with a diverse set of tools, and willing to take initiative on their ideas. We value teamwork, openness and creativity.
What You’ll Do:
Define the architecture that serves as the foundation for company projects as well as accelerate the delivery of our Data Science models.
Develop and move code in our production environment, be empowered to implement various data-centric architectures that support vital operational initiatives.
Help build a production-level ecosystem that aligns with business function needs and maintain capability in handling large-scale structured and unstructured data.
Lead and innovate as a thought-leader within the organization. You will have the ability to sit at the intersection of Data,, Marketing and Leadership.
What You'll Need
3+ years experience working as a Data Engineer, preferably in a product or customer-focused organization.
3+ years using Python, knowledge of Cloud services and Tools, as well as standard engineering tools such as Linux and SQL.
Experience building batch data pipelines and are comfortable working within a large-scale distributed environment with open source tools such as Hadoop, Spark and Airflow.
You can independently deliver on a project, from its inception to delivery to our stakeholders, and can pro-actively interact with other engineers.
Nice To Have
M.S. or Ph.D. in computer science, statistics, economics/econometrics, or any other equivalent quantitative project is preferred.
Experience contributing to the use of BI platforms.
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