Principal Data Scientist at Nanigans
🇺🇸 United States › Massachusetts › Boston (Posted Sep 12 2018)
About the company
Nanigans arms marketing teams to drive incremental revenue with the most powerful and transparent cross-channel buying platform. Sophisticated commerce advertisers currently optimize more than $700M in annual ad spend through the Nanigans platform.
Nanigans' Data Science team is looking for a Principal 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.
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
Skills & requirements
7+ years professional experience applying data analysis or machine learning techniques
Master's or PhD degree in math, engineering, or other quantitative 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
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 experience applying 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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