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Invisible Technologies

AI-assisted BPO and task outsourcing

Senior Data Scientist - Forward Deployed

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 6 years of hands-on data science experience, including client-facing or forward-deployed work.
  • A bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent professional experience.
  • Strong proficiency in Python and common machine learning and data libraries, including NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow, along with strong SQL skills.
  • A proven track record of taking models from prototype to production.
  • A solid grasp of statistical modeling, experimental design, model evaluation, and data debugging.
  • Experience working with large-scale datasets using distributed tools such as Spark.
  • Comfort navigating cloud environments such as GCP, AWS, or similar.
  • The ability to write clean, modular, testable code in collaborative environments.
  • Willingness to be on-call for customers when situations arise.

Responsibilities

  • Lead the scoping, development, and deployment of end-to-end statistical and machine learning solutions to complex operational problems, partnering with delivery leaders and clients.
  • Work directly with clients to frame ambiguous business challenges, explore solution paths, and translate technical insights into measurable results.
  • Build, test, and deploy machine learning models that operate reliably in dynamic production environments.
  • Explore and analyze large datasets from diverse sources to inform model design and evaluate performance under realistic constraints.
  • Design and run experiments, including A/B tests, to measure and improve product and business performance.
  • Partner with software engineers and fellow data scientists to integrate models into deployable systems.
  • Build reusable tooling and infrastructure that accelerates future model development and deployment.
  • Mentor other data scientists and help set best practices for code quality, experimentation, and model evaluation.

Desired Qualifications

  • Familiarity with MLOps practices, including model tracking, versioning, and reproducibility.
  • Experience contributing to multi-model systems or pipelines built by larger teams of data scientists and engineers.

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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