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Invisible Technologies

AI-assisted BPO and task outsourcing

Data Scientist - Forward Deployed

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 1 year of hands-on data science experience through professional roles, internships, coursework, or research projects.
  • A bachelor's degree in Data Science, Computer Science, or a related field, or equivalent professional experience.
  • Strong Python skills and familiarity with NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch.
  • A solid understanding of statistical modeling end-to-end.
  • Willingness to be on-call for customers when situations arise.

Responsibilities

  • Partner with delivery leaders to scope, develop, and deploy end-to-end statistical and machine learning solutions to operational problems.
  • Investigate customer problems to identify optimizations and turn them into stable, scalable solutions.
  • Translate real-world constraints, including inconsistent data and latency requirements, into solutions.
  • Iterate quickly based on real-time feedback from operators and clients.
  • Build reusable tooling and infrastructure that accelerates future model development and deployment.
  • Work directly with clients and internal delivery teams to build and deploy AI-powered solutions.
  • Own projects end-to-end, including scoping ambiguous problems, prototyping AI workflows, and deploying scalable data science solutions on the company's products.
  • Interface with technical and non-technical stakeholders.

About the Company

Invisible Technologies

AI-assisted BPO and task outsourcing

Invisible Technologies combines artificial intelligence with a global workforce to automate repetitive digital work through a subscription-based BPO platform. Clients receive a dedicated assistant; tasks are handled by AI with routing to human agents as needed, and a transparent portal lets them track progress, usage, plan, and billing. It differentiates itself from traditional outsourcing and large automation providers by offering a high-touch, long-term, predictable service with a single dedicated team and visible operations. Its goal is to streamline operations, boost efficiency, and cut costs for clients by delivering digital work faster with clear visibility and scalable, ongoing partnerships.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$107.9M
Headquarters
New York City, New York
Founded
2015

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