Senior Data Scientist
Gradient AI · Insurance Technology
- Work arrangement: fully remote
- Employment type: Full Time
- Salary: $135k - $165k USD/yr
- Seniority: senior
- Posted:
Job description
Position:
Senior Data Scientist
Company:
Gradient AI
Compensation:
$135,000-165,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package.
Location:
Remote (hybrid available for those local to Boston)
Employment type:
Full-time
Work Arrangement:
Fully remote
Short Summary:
Gradient AI is seeking a Senior Data Scientist to advance core AI models and drive them to market in collaboration with data science, product, and engineering partners.
Responsibilities:
- Own well-scoped models end-to-end.
- Leverage modern deep learning & large language models with traditional data science techniques.
- Brainstorm, prototype, prove, deploy, and realize the value of your work in the market quickly.
- Handle big data, federated learning, unstructured data challenges, and timeseries modeling.
- Communicate insights effectively to inspire trust in customers and stakeholders.
Requirement:
- Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience OR Master’s or Ph.D. in a related field AND 1-2 years of experience.
- Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and modern AI architectures.
- Advanced proficiency in Python and its core data science ecosystem.
- Familiarity with SQL, relational databases, and cloud environments (AWS/Azure/Google/Databricks).
- MLOps experience, including model production and CI/CD.
Benefits:
- Fun, team-oriented startup culture.
- Generous stock options.
- Unlimited vacation days.
- Flexible schedule supporting remote work.
- Full benefits package (medical, dental, vision, 401k, paid parental leave, etc.).
- Opportunities for learning and new responsibilities.
Senior Data Scientist
Company:
Gradient AI
Compensation:
$135,000-165,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package.
Location:
Remote (hybrid available for those local to Boston)
Employment type:
Full-time
Work Arrangement:
Fully remote
Short Summary:
Gradient AI is seeking a Senior Data Scientist to advance core AI models and drive them to market in collaboration with data science, product, and engineering partners.
Responsibilities:
- Own well-scoped models end-to-end.
- Leverage modern deep learning & large language models with traditional data science techniques.
- Brainstorm, prototype, prove, deploy, and realize the value of your work in the market quickly.
- Handle big data, federated learning, unstructured data challenges, and timeseries modeling.
- Communicate insights effectively to inspire trust in customers and stakeholders.
Requirement:
- Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience OR Master’s or Ph.D. in a related field AND 1-2 years of experience.
- Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and modern AI architectures.
- Advanced proficiency in Python and its core data science ecosystem.
- Familiarity with SQL, relational databases, and cloud environments (AWS/Azure/Google/Databricks).
- MLOps experience, including model production and CI/CD.
Benefits:
- Fun, team-oriented startup culture.
- Generous stock options.
- Unlimited vacation days.
- Flexible schedule supporting remote work.
- Full benefits package (medical, dental, vision, 401k, paid parental leave, etc.).
- Opportunities for learning and new responsibilities.
Skills
- aws
- azure
- databricks
- deep_learning
- gcp
- ml
- mlops
- python
- pytorch
- sql
- tensorflow
Languages
EN
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