Data Science/ Machine Learning Engineer

Perpetual is an award winning product design and software development agency in NYC. We work on a variety of innovative and exciting projects, ranging from creative interactive front-end experiences to advanced scalable back-end and data systems. Our clients include several successful startups and innovative large corporations like Reuters, Elle Magazine, Car & Driver, Sonder, Unpakt, The Inside, MIT, University of California and Reliance Jio. Our team has prior experience at companies like McKinsey, Verizon, Reuters, Code & Theory and Fantasy Interactive. We follow best practices in Product Management, UX Design and Software Engineering.

1. 5+ Years of experience in Data Science or Data Engineering
2. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
3. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
4. Experience working with and creating data architectures.
5. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
6. Proven ability to develop custom data models and algorithms to apply to data sets
7. Proven ability to develop company A/B testing framework and test model quality.
8. Proven ability to develop processes and tools to monitor and analyze model performance and data accuracy.
9. Should be able to use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
10. Should be able to mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.