Remote Senior Data Scientist — AI for Insurance Risk

Gradient AI Corp.

Boston, Northern (MA, KY)

Hybrid

USD 140,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Stock options
Flexible remote work
Full benefits package
Learning and growth opportunities

Job summary

Gradient AI Corp. in the Boston area is seeking a Senior Data Scientist to advance our core AI models and ship measurable uplift. You will own models end-to-end, collaborating with data science, product, and engineering partners to deliver production-ready solutions.

The role blends deep learning with traditional data science, using PyTorch or TensorFlow, Python, and cloud platforms to drive real business impact and scalable performance.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or related field with 3–5 years of data science experience.
  • Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or related field with 1–2 years of data science experience.

Responsibilities

  • Own well-scoped models end-to-end and ship measurable uplift in market.
  • Prototype, validate, deploy, and monitor models to realize business value.
  • Collaborate with data science, product, and engineering teams in an agile environment.
  • Tell stories with data to build trust with customers and stakeholders.

Skills

Deep learning & ML
Python
Communication & collaboration
MLOps & production experience
Problem solving
Jupyter notebooks

Education

Bachelor's or higher in CS/Data Science/Math/related
Master’s or Ph.D in CS/Data Science/Math/related

Tools

PyTorch
TensorFlow
Docker
Databricks
Cloud platforms (AWS/Azure/Google)

Job description

Gradient AI Corp. in the Boston area is seeking a Senior Data Scientist to advance our core AI models and ship measurable uplift. You will own models end-to-end, collaborating with data science, product, and engineering partners to deliver production-ready solutions.

The role blends deep learning with traditional data science, using PyTorch or TensorFlow, Python, and cloud platforms to drive real business impact and scalable performance.

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