Data Scientist: ML for Breakthrough Remote Research

Placements24; Riverton (UT); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly

Flexible hours

Powerful cloud infrastructure

Job summary

Placements24 is seeking a highly analytical Data Scientist for a remote-first research team. You will apply machine learning and statistical modeling to extract insights from complex scientific data, develop predictive models, and drive discoveries.

You will collaborate with leading researchers globally, design experiments, and communicate findings through clear reports and visualizations. The role offers flexible hours and access to powerful cloud infrastructure for advanced analytics.

Qualifications

• Ph.D. or Master’s degree in a quantitative field such as Data Science, CS, Statistics or Math.
• Proven experience applying ML algorithms and statistical modeling techniques.
• Strong programming skills in Python or R with libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with large-scale data processing and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving and ability to work independently in a remote setting.

Responsibilities

• Develop, train, and deploy machine learning models on large scientific datasets.
• Identify patterns and correlations to inform research hypotheses.
• Collaborate with domain experts to translate challenges into data science solutions.
• Design experiments to validate model performance and impact.
• Communicate analytical findings clearly through reports and visualizations.

Skills

Machine learning

Statistical modeling

Python

R

Cloud computing

Education

PhD or Master’s in Data Science / related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 is seeking a highly analytical Data Scientist for a remote-first research team. You will apply machine learning and statistical modeling to extract insights from complex scientific data, develop predictive models, and drive discoveries.

You will collaborate with leading researchers globally, design experiments, and communicate findings through clear reports and visualizations. The role offers flexible hours and access to powerful cloud infrastructure for advanced analytics.