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Head of Data Science
Updated on 1/31/2023
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Git
R
NumPy
Pandas
SQL
Tensorflow
Python
Requirements
  • 10+ years of experience with at least 3 years managing all functional areas of a Data Science department, including people management
  • Experience with energy usage data
  • Highly fluent in hands-on work, writing code, creating models, and peer reviewing and QAing teammates' projects
  • A track record of delivering data-driven solutions that have meaningful impact on customer experience and business success; a high sense of ownership
  • Proficient in all modern data science methodologies and tools
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python specifically the pandas, numpy and tensorflow libraries), and statistical/mathematical software (e.g. R)
  • Experience with driving and maintaining source control processes using Gitlab
  • Experience interfacing with Data Engineers for Machine Learning Operations on platforms such as VertexAI, Snowpark, etc
  • Excellent communication skills, both verbal and written, with both technical and non-technical partners inside and outside the organization
  • Strong, servant-leadership skills; motivated to develop people and manage to high performance / extraordinary results
  • Ability and autonomy to work remotely and lead a remote-first team
  • Low personal ego, but strong ambition and drive for both what is best for our customers and the organization's mission to decarbonize and electrify homes
  • Undergraduate and advanced degree(s) in quantitative field(s) - computer science, engineering, statistics, physics, mathematics, etc
Responsibilities
  • You love getting your hands dirty in the data; you are constantly curious how new data and insights create opportunities for our business and customers
  • You enjoy peer reviewing / QAing other data scientist models and offering constructive feedback and coaching
  • You love building teams of people that are both incredibly talented and wonderful humans
  • You think about the big picture and can make investment cases for how incremental data science hiring can benefit the business
  • You are skilled at prioritizing the right work, in the right order, and ensure you and your team are executing against your plan
Sealed

51-200 employees