Remote Lead Data Scientist — AI & ML Innovation

Placements24; Riverton (UT); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Home office setup budget

Professional development budget

Job summary

Placements24 is seeking a Lead Data Scientist to spearhead advanced analytics initiatives in a fully remote role. You will develop and deploy cutting-edge ML models, mentor a distributed data science team, and translate business needs into data-driven solutions.

The position requires 7–10 years in Data Science/ML with leadership, strong Python/R skills, and experience with TensorFlow, PyTorch, Spark, and cloud platforms. A PhD or Master's in a quantitative field is preferred.

Qualifications

• PhD or Master's in a quantitative field is required.
• 7–10 years in Data Science/ML with at least 3 in a leadership role.
• Proven experience deploying ML models in production environments.

Responsibilities

• Lead the design, development, and deployment of advanced ML models and AI solutions.
• Define data science strategy and roadmap aligned with product vision.
• Mentor and manage a remote team of data scientists with code reviews and feedback.
• Collaborate with engineering, product, and business to leverage data science opportunities.
• Develop and maintain robust data pipelines for training and deployment.
• Communicate complex findings to technical and non-technical stakeholders.

Skills

Leadership

Communication

Python

R

Education

PhD or Master's degree in a quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking a Lead Data Scientist to spearhead advanced analytics initiatives in a fully remote role. You will develop and deploy cutting-edge ML models, mentor a distributed data science team, and translate business needs into data-driven solutions.

The position requires 7–10 years in Data Science/ML with leadership, strong Python/R skills, and experience with TensorFlow, PyTorch, Spark, and cloud platforms. A PhD or Master's in a quantitative field is preferred.