Data Scientist

US-MA-Cambridge
Job ID
2017-9663
# Positions
1
Category
Engineering
Position Type
Full-Time

Overview

Named by Forbes as one of the top ten fastest growing technology companies, SolarWinds is improving the way IT Management software is developed, priced, purchased and used. The Data Science organization (a function of the office of the CTO), operates across the collective SolarWinds portfolio. The Data Science organization is seeking an experienced Data Scientist to join our vibrant and knowledgeable team. This high-profile position will require drive and creativity, as you will quickly be involved in developing data analytics features for next-generations cloud, container, application and infrastructue monitoring and managment software. 

Responsibilities

  • Research and experiment data science technologies, discover opportunities for new data analytics features, and influence product and technology strategies of the company.
  • Develop algorithms (statistical modeling, machine learning, optimization, etc.) that power data analytics features.
  • Communicate research results effectively in written and spoken forms to various audiences including product management, engineering, executives, and customers.
  • Drive the productization of the algorithms either by writing high-quality, reusable code modules or advising the engineering teams on implementing the algorithms.
  • Educate the organization on data science technologies and data analytics using internal presentations and publications.
  • Represent the organization and advocate its data analytics efforts and capabilities using external presentations and publications.
  • Build tools, share knowledge and expertise, and mentor junior members for the Data Science team.

Qualifications

  • 2+ years of working (or significant personal/part-time projects) experience in relevant technical fields or PhD in technical majors.
  • Strong skills to manipulate data (Python,SQL, R, Matlab, etc.)
  • Proficient coding skills (Python, R, Java, C++, Matlab, etc).
  • Solid understanding of relevant theories in probability theory, statistics, machine learning, data structure and algorithms, optimization, etc.
  • Strong skills to implement statistical modeling and machine learning algorithms (R, Python, Matlab, etc).
  • Good communication skills both in written (technical documents, Python and R notebooks) and spoken (meetings, presentations) forms.
  • Willing and able to learn and meet business needs.
  • Independent, self-organizing, and able to prioritize multiple complex assignments.

 

Preferences:

  • Experience with time series
  • Experience with Docker, Git, and Shell.
  • Experience with Big Data tools such as AWS, Hadoop, Spark.
  • Experience with presentation or publication on technical topics.

 

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