app jobs engineering companies w will-n-able sr. data scientist

Sr. Data Scientist

This position is 100% remote, and will start as a part time contract (

Senior Data Scientist will work on a highly collaborative, mature and cutting-edge team applying machine learning to solve challenging problems for commercial customers.

Our Client is an intelligent data solutions company that provides machine learning, data strategy, data engineering and data-informed user experiences to innovative companies. Their team is spread throughout the US and comprises PhDs and professionals with decades of experience leading data and product strategies and building intelligent applications.


  • Structure complex client problems to be solved using imperfect data
  • Perform large-scale data analysis, explore and extract patterns, identify and investigate anomalies
  • Enhance, find patterns in, and build predictive models on large data sets
  • Translate findings into clear, actionable, and timely insights
  • Work with cross-functional teams of engineers, data scientists, project managers, and business staff
  • Communicate findings to clients with various skill levels and in various roles
  • Creatively identify opportunities to convert insights from client engagements into scalable decision applications, and collaborate with other teams to build these tools
  • Work independently and pro-actively, asking for help when needed, both of peers and supervisors



  • M.S. or PhD in Computer Science, Statistics, Applied Math, or a quantitative field with a strong background in machine learning or data mining
  • 4+ years of relevant consulting or industry experience
  • Strong problem solving and troubleshooting skills with experience exercising mature judgment
  • Proven experience effectively prioritizing workload to meet deadlines and work objectives
  • Demonstrated ability to write and speak clearly, succinctly, and in a manner that appeals to a wide audience
  • Experience with: SQL, Python, Scala or related languages
  • Experience with common ML frameworks (e.g. TensorFlow, Scikit-Learn, Caffe, Spark, etc.)
- provided by Dice

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