Senior Data Scientist

Hydrogen Group
United States
about 2 months ago
Apply on arc.dev
Prepare application

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all