Remote Senior Data Scientist - Forward Deployed Engineer

at Invisible Technologies

Posted 23 hours ago 1 applied

Description:

  • Invisible Technologies is seeking a Senior Data Scientist - Forward Deployed Engineer (FDE) to work directly with clients and internal delivery teams.
  • The role involves building and deploying AI-powered solutions that transform work processes.
  • Responsibilities include scoping ambiguous problems, prototyping AI workflows, and deploying scalable data science solutions.
  • The position requires interfacing with both technical and non-technical stakeholders.
  • This is a hybrid role that combines data science and technical consulting, ideal for those who want to be hands-on with data science and see the impact of their work.

Requirements:

  • Candidates must have 8+ years of professional experience in data science.
  • Strong Python skills are required, along with familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
  • A solid understanding of statistical modeling from end-to-end is necessary.
  • Strong communication skills are essential to explain data decisions to non-technical stakeholders.
  • An entrepreneurial mindset and comfort in fast-moving, unstructured environments are important.
  • Candidates must be willing to be on-call for customers when situations arise.
  • The ability to travel approximately 25–50% of the time, including short-notice trips primarily across North America and occasional international roll-outs, is required.
  • A strong engineering background is demonstrated by a Bachelor’s degree in Data Science, Computer Science, or related fields, or equivalent professional experience.

Benefits:

  • Invisible offers fair and competitive pay, with compensation reflecting market conditions and individual value.
  • The annual salary for this position ranges from $168,000 to $188,100 USD, depending on location.
  • Bonuses and equity are included in offers above entry level, with final compensation determined by various factors including location, experience, and market conditions.
  • Additional details on total compensation and benefits will be discussed during the hiring process.