Senior Data Scientist

5 - 7 years experience  • 

Salary depends on experience
Posted on 03/02/18
Boston, MA
5 - 7 years experience
Salary depends on experience
Posted on 03/02/18

Description

Nanigans' Data Science team is looking for a Senior Data Scientist to support our Customer Success and Core Tech Engineering teams. You are an analytical, quantitative, problem solver who can quickly identify the most promising solutions to a customer request, but can also diligently implement and test a novel Machine Learning algorithm to be used in production software.

Qualified candidates are expected to possess top-flight communication skills, project management skills, analytical skills, excellent work ethic, and a drive for customer satisfaction.

Responsibilities

  • Contribute to the development and maintenance of the machine learning components of the core technology platform as a primary individual contributor and a thought leader
    • Prototype, refine, deploy, and monitor predictive models and decisions agents that are used in automation and analysis tasks
    • Propose and investigate new techniques
    • Troubleshoot production issues and identify practical solutions
    • Collaborate with multiple developers, including design reviews, code reviews, unit tests, integration tests, and standups
  • Support customer-facing teams with reports, analyses, insights and actionable recommendations
    • Partner with front line Customer Success managers and Sales Engineers to delight current and future customers
    • Be the trusted advisor and thought partner, providing deep analysis of data and helping to define and conduct pilot tests

Qualifications

  • 5+ years professional experienceapplying data analysis or machine learning techniques
  • Master's or PhD degree in math, engineering, or otherquantitative discipline
  • Experience developing, testing, and contributing significant amounts of code to software projects that have multiple contributors and are under active development for greater than one year
  • Experience using Python, Matlab, R, or Mathematica (Python preferred) to access large amounts of data, execute multiple analysis steps, visualize intermediate and final results, and present conclusions to peers and management
  • Excellent communication skills, ability to tailor technical information for different audiences
  • Excellent teamwork skills, ability to self-start, share insights, ask questions, and report progress
  • Experience extracting and transforming data from remote data stores, such as relational databases or distributed file systems

Additional Desired Skills

  • Hands-on experience in digital advertising or other web-based technology businesses
  • Significant experience with large-scale computing technologies such as Spark, Map Reduce, Hive, TensorFlow, Vowpal Wabbit, Mahout
  • Experience designing and conducting controlled experiments, performing statistical analysis of collected data, and presenting results to other stakeholders
  • Significant experience building and interpreting machine learning models on real business data, e.g. logistic regression, naïve Bayes, Random Forests, boosted trees, deep neural networks
  • Strong understanding of and experienceapplying statistical techniques, e.g. regularization, hypothesis testing, analytical and empirical confidence intervals, bootstrap sampling
  • At least some experience with data analysis or software development in a unix-based system
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