Data Scientist - Machine Learning for 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

Our client is looking for a highly analytical and innovative Data Scientist to join their advanced remote-first research team. This role is instrumental in leveraging machine learning and statistical modeling to extract actionable insights from complex scientific datasets, driving breakthrough discoveries. You will work on challenging problems, developing predictive models and analytical solutions that shape the future of our research endeavors. This is an exceptional opportunity for a data-driven individual to make a significant impact, collaborate with leading researchers globally, and thrive in a flexible, remote working environment that fosters continuous innovation and professional growth.

Key Responsibilities

• Develop, train, and deploy machine learning models to analyze large scientific datasets.
• Identify patterns, trends, and correlations within data to inform research hypotheses and strategies.
• Collaborate with domain experts to understand research challenges and translate them into data science problems.
• Design and implement experiments to validate model performance and impact.
• Communicate complex analytical findings clearly and effectively to diverse audiences through reports and visualizations.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience in applying machine learning algorithms and statistical modeling techniques.
• Strong programming skills in Python or R, with expertise in libraries like TensorFlow, PyTorch, or scikit-learn.
• Experience with large-scale data processing and cloud computing platforms (AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a remote setting.

Benefits

• Highly competitive salary and a comprehensive benefits package designed for remote employees.
• Flexible work hours and the freedom to work from anywhere.
• Access to powerful computing infrastructure and cutting-edge data science tools.
• Opportunities to work on high-impact, innovative research projects.
• A dynamic, supportive, and forward-thinking remote work culture.