Senior Data Scientist
Hydrogen Group
United States
about 2 months ago
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Role details
Contract type
Temporary to permanent
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon S3
Computer Vision
Big Data
Computer Programming
Python (Programming Language)
Machine Learning
Feature Engineering
Model Validation
Information Technology
Data Pipelines
Job description
Contract Duration: 4-month contract with high potential for extension based on business needs and performance.
What You’ll Be Doing
- Lead the end-to-end development of machine learning and computer vision solutions, from discovery through deployment.
- Partner with business stakeholders and technical teams to identify high-value AI opportunities.
- Design, build, and optimize predictive machine learning models.
- Lead computer vision initiatives, including data labeling, model training, evaluation, and deployment.
- Build scalable data pipelines by extracting, transforming, and preparing data from multiple sources.
- Develop clean, production-quality Python code for feature engineering and model development.
- Present technical findings and recommendations to both technical and executive audiences.
- Review and mentor other data scientists, ensuring high technical standards across the team.
- Collaborate closely with Data Engineers, Machine Learning Engineers, and subject matter experts to deliver production-ready AI products.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, Physics, Economics, or a related quantitative discipline (Master’s preferred).
- 4+ years of experience in Data Science (2+ years with a relevant Master’s degree).
- Strong experience developing and deploying machine learning models in production environments.
- Advanced Python programming skills.
- Deep understanding of statistics, feature engineering, model evaluation, and machine learning best practices.
- Experience working with large and complex datasets.
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
- Strong systems thinking and problem-solving abilities.
Nice to Have
- Experience building Computer Vision models.
- Experience with AWS technologies such as S3, SageMaker, and Ground Truth.
- Experience mentoring or leading other Data Scientists.
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Prepare application
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