Data Scientist

About PulsePoint

PulsePoint™ is a next-gen advertising technology platform that fuses the science of programmatic targeting, distribution and optimization with the art of content marketing. Our 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.

Currently, the PulsePoint Exchange:

  • Handles hundreds of thousands of transactions per second, billions of times each month
  • Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine-learning
  • Returns responses collected from dozens of parties in milliseconds
  • Constantly evolves to meet market demands that change in days and weeks, not months/years
  • Factors thousands of data-points in every serving decision

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 are ready to work on new data-driven projects while creating value by building production grade software come and join our team.

Responsibilities:

  • 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

 ** All applicants must submit a code sample or a GitHub link to be considered **

Benefits:

  • Sane work hours (with flexible scheduling)
  • Competitive Salary & 401K Plan Match
  • Generous paid vacation (we consider your birthday a holiday)
  • Sabbatical at 5 years of employment
  • Health & Wellness Fairs
  • The opportunity to partake in our Office Fitness Shape-Up Program
  • Professional training and industry membership access
  • Complimentary membership to local programs like NYC CitiBike
  • Corporate Discount to New York Sports Club (NYSC)
  • Free team lunches twice a month
  • Team happy hours and beer-o-clock Fridays
  • Awesome snacks: drink bar, coffee bar, ice cream bar, candy bar & fruit bar
  • The opportunity to join our Company Basketball Team
  • Indoor dart wars, PAC-MAN, Basketball and Ping-Pong Tournaments

Meet Some of PulsePoint's Employees

Elizabeth P.

Director, Business Development & Operations, Digital Health Solutions

Elizabeth oversees business development and operations for PulsePoint Digital Health Solutions. She works with advertisers, finding new and innovative ways to target patients, physicians, and insurers in the healthcare industry.

Greg B.

Technical Account Manager

Greg’s role sits at the intersection of business and technology. He’s responsible for overseeing the needs of the Sales, Development, and Engineering Teams.


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