Data Scientist (ML Evaluation in Health Sensing)


Job Overview

Key Qualifications

  • Data Analysis, Machine Learning, Statistics, Data Engineering, Mathematics, Computer Science
  • Comfortable with Python, R, Matlab, and/or other Data Science tools
  • Experience with highly parallel, distributed, streamed or generally asynchronous data processing environments (Spark, Kafka, BigQuery, Dask, Celery, Hadoop, etc..)
  • Experience with SQL and NoSQL / Key-value store databases
  • Experience with analyzing large scale datasets
  • Confident with basic and advanced statistical methods, e.g. descriptive and inferential statistics, multivariate regression analysis
  • Quality driven, detail oriented, with excellent communication skills
  • Description

    CORE RESPONSIBILITIESAnalyzing and visualizing algorithm performance in a concise, illustrative, truthful and comprehensive way Working with large scale datasets and developing tools and frameworks necessary for processing of such data Developing test frameworks and routines to ensure high quality of data processing and analysis pipelines Devising performance metrics, test cases and regression conditions for different models Researching feasibility of new algorithms and features Processing raw data and building refined datasets Ensuring the highest quality of the end user product

    Education & Experience

    PhD or MS in Computer Science, Computer Engineering, Data Science, Statistics or equivalent in relevant industry experience 3+ years relevant industry experience

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