Data Scientist Remote

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  • Post Date: 18/09/2019
  • Applications 0
  • Views 80
Job Overview

SleePare makes shopping for sleep products simple and quick. We serve as the ultimate source for accurate product reviews, comparisons, and consumer satisfaction ratings of top trending mattresses, pillows and other accessories. As a data scientist we aim you to improve traffic performance by creating an automatic and adaptive predicting model that incorporates both Natural Language
Processing and Time Series Techniques and also ensure various other data requirements for research and development purposes.

Duties and Responsibilities:

  • Discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products
  • Applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products
  • Suggest and develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
  • Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resource
  • Serve as the senior technical expert for leadership on data cleansing, variable creation, variable transformation, etc. As well as best-practices in the creation of analytic datasets
  • Serve as the consummate technical expert in model development and validation analyses – from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff
  • Provide significant input to Product Management on implementation specifications and production testing
  • Review reports and make recommendations for needed model refits/enhancements
  • Keep abreast of business trends/product needs


  • 1+ years of professional experience building predictive and descriptive statistical models
  • Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
  • Extensive experience working with large datasets
  • Experience with Methodologies like Natural Language Processing, and Time Series – a must
  •  Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. -GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, Neural Networks, Deep Learning, etc)
  • Demonstrated proficiency with statistical packages in Spark ML-Lib, Python, R, or SAS – a must
  • Understanding of RDBMs and interactive SQL programming skills – a must
  • Ability to program in Python, Scala, R, or SAS – a big advantage
  • Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) – a big advantage
Job Detail
  • Career LevelMiddle
  • Experience1-2 years
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