Remote Senior Data Scientist: ML Leader, Flexible Schedule

Placements24; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Performance bonuses

Health insurance

Fully remote work

Professional development budget

Job summary

Placements24 is seeking a Senior Data Scientist with expertise in machine learning to design, develop, and deploy advanced models in a remote-first R&D team. This role supports operations with a global reach, enabling data-driven decisions and innovative research without geographical constraints.

The candidate will work with large datasets, collaborate with cross-functional teams, and mentor juniors while staying current with ML advancements.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field.
• 6+ years of professional experience as a Data Scientist with a strong ML focus.
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong statistical modeling, experimental design, and data mining understanding.
• Experience with cloud platforms (AWS/Azure/GCP) and distributed computing.
• Excellent communication and ability to work independently in a remote environment.

Responsibilities

• Develop, train, and evaluate ML models for prediction, classification, and clustering.
• Implement and optimize ML algorithms for large-scale datasets.
• Collaborate with engineers and product managers to deploy models.
• Perform exploratory data analysis and feature engineering.
• Stay updated on ML, DL, and AI research trends.
• Mentor junior data scientists and help grow the team.

Skills

Python/R

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

Distributed computing

Remote work

Education

Master's or Ph.D. in CS/Statistics/Math

Tools

AWS

Azure

GCP

Job description

Placements24 is seeking a Senior Data Scientist with expertise in machine learning to design, develop, and deploy advanced models in a remote-first R&D team. This role supports operations with a global reach, enabling data-driven decisions and innovative research without geographical constraints.

The candidate will work with large datasets, collaborate with cross-functional teams, and mentor juniors while staying current with ML advancements.