Data Scientist

PulsePoint ™, a global programmatic advertising platform, fuses the science of programmatic targeting, distribution and optimization with the art of brand engagement. The PulsePoint platform is powered by terabytes of impression-level data, allowing brands to efficiently engage the right audiences at scale while helping publishers increase yield through actionable insights.

At PulsePoint, data is at the core of everything we do and Data Sciences is a high profile and high impact team, focusing on creating innovative solutions that rely on predictive modeling and big data analytics which, in turn, informs every layer of our product stack. If you e ready to work on new data-driven projects while creating value by building production grade software come and join our team.

• Work on challenging fundamental data science problems in the online advertising space
• Research and investigate academic and industrial data mining, machine learning, and modeling techniques
• Identifying, ingesting, and enriching a wide range of structured and unstructured big data into datasets for analysis
• Operating and extending the data infrastructure platform to deliver production-grade data curation and analysis services

Requirements:

• MS/PhD in Astronomy, Physics, Applied Mathematics, Statistics, Machine Learning, Computer Science; or BS with several years of applied machine learning experience
• 3+ years of full-time experience working as a Data Scientist
• Advanced knowledge of Big Data technologies such as Hadoop, Hive, and Impala
• Advanced knowledge of python using the numpy/scipy/pandas/sklearn stack
• Experience building interactive data visualizations via D3.js
• Active Research interest in modern natural language processing (NLP), image processing, deep learning, Bayesian methods, and fundamental machine learning techniques
• Excellent problem solving, communication, and analytical skills

Preferred:

• Publications in top-tier conferences or journals in ML
• Machine Learning competition experience
• Experience building production-based Deep Learning systems using tensorflow
• Experience building web applications via the MEAN stack
• Contributions to open-source projects
• Active presence in the data science community; conference speaker, author