Data Scientist (Machine Learning/Recommendation Systems)

New York, NY

Post Date: 06/27/2017 Job ID: 9890313 Industry: IT Perm
One of New York's fasting growing startups is experiencing its most rapid growth to date, the company needs a Senior Data Scientist and/or Personalization Engineer with significant machine learning and recommendation systems experience. This isn't your first rodeo right off the bat, you'll be able to have immediate impact on our existing data by using content- and collaborative-filtering based strategies you've used a hundred times to start the process, but you're really excited to dive deep into the nuanced and complex data of the hiring world and build something that's never been built well before.
Working alongside the product, engineering, and our CTO, you will help us develop the recommendation tools we need to revolutionize the hiring process for students and employers. Specifically, you will:
  • Develop a world-class, machine learning-driven recommendation and personalization system to match our users with jobs
  • Implement prototypes of the algorithms and models you design in Python, R, and/or scalable big data systems
  • Identify appropriate metrics to measure the success of our recommendation systems
  • Introduce, evaluate, and recommend machine learning technologies that may be relevant to our success (e.G., TensorFlow, Spark, etc.)
  • Generate algorithms to automatically tag, parse, and otherwise identify semi- and unstructured data
  • Develop recommendations for the product team for additional data we need to collect and how we might collect it in a scalable way
  • Analyze and report on any valuable insights from our data discovered along the way
  • Help scale our data science team by referring, interviewing, and mentoring candidates and new hires
  • 5-10+ years of data science, machine learning, or AI experience
  • Strong track record of developing impactful recommendation systems
  • Ability and excitement to learn and work with new tools, technologies, and models as the job requires
  • Exceptional analytics, leadership, and problem-solving skills
  • Strong background in machine learning and recommendation systems
  • Programming experience in Python
  • Knowledge of map-reduce/Hadoop, Spark, Storm, or similar big data frameworks
  • Knowledge of distributed systems a plus

Jose Bustamante

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