Data Scientist

New

Montana, North Dakota, Kansas, Oklahoma, Iowa, Arkansas, Michigan, Wisconsin, Indiana, Kentucky, North Carolina, South Carolina, Virginia, Louisiana, Mississippi, Alabama, Florida (Remote)Full-TimeMiddle

Salary110,000 - 130,000 USD per year

Apply NowOpens the employer's application page

Job Details

Experience: 3+ years
Required Skills: PythonSQLMachine LearningPyTorchPandasTensorflowscikit-learnMLOps

Requirements

3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities.
Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow).
Hands-on experience with AWS SageMaker Studio for model development, training, and deployment.
Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring.
Experience with SQL and working with structured data in cloud data warehouses or relational databases.
Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders.
Strong self-direction and communication skills suited for a remote work environment.

Responsibilities

Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing.
Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring.
Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows.
Partner with product and operations teams to translate business requirements into data science solutions.
Monitor deployed models in production, identify performance degradation, and drive continuous improvement.
Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing.

View Full Description & ApplyYou'll be redirected to the employer's site