Remote Applied Scientist – ML & Data Analytics

Synthires; New York (NY); Remote; USD 338,000 - 386,000; Full time

Job summary

Synthires is seeking an Applied Scientist for a remote, contractor position to advance analytics, experimentation, and ML efforts. You will design analyses, build models, and help improve AI systems with rigorous data work and clear reporting.

The role emphasizes strong Python skills, experience with Pandas and ML libraries, and the ability to communicate results to stakeholders. Remote collaboration and reproducible code are expected.

Qualifications

• Strong proficiency in Python and data analysis.
• Knowledge of machine learning, statistics, experimentation, and data modeling.
• Experience with Pandas and related data science tools.
• Strong analytical, problem-solving, and quantitative reasoning skills.
• Excellent written and verbal communication skills.

Responsibilities

• Design and run statistical analyses on complex datasets.
• Develop, validate, and evaluate ML models for business/research goals.
• Apply data modeling and data transformations using Python and Pandas.
• Collaborate to establish experimentation frameworks and analyze outcomes.
• Document methodologies, findings, and recommendations clearly.
• Review peer contributions and provide technical feedback.
• Deliver reproducible code and organized analytical reports.
• Evaluate AI model outputs with stats, ML, experiments, and reasoning.
• Create expert prompts, datasets, and reference solutions.
• Identify flawed methodologies and weaknesses in quantitative reasoning.
• Provide structured feedback to improve AI model performance.

Skills

Python

Data analysis

Statistical knowledge

Analytical thinking

Communication skills

Tools

Pandas

scikit-learn

Job description

Synthires is seeking an Applied Scientist for a remote, contractor position to advance analytics, experimentation, and ML efforts. You will design analyses, build models, and help improve AI systems with rigorous data work and clear reporting.

The role emphasizes strong Python skills, experience with Pandas and ML libraries, and the ability to communicate results to stakeholders. Remote collaboration and reproducible code are expected.