Wave Mobile Money
United States
New
Senior Data Scientist (Remote)
Data Science Full-time 24m ago
- Data Visualization
- Embedded
- Machine Learning
- Python
J
AI Summary
We are hiring a Data Scientist (ML) for a contract role to develop and deploy machine learning models for predictive accuracy improvements. Responsibilities include designing, training, and optimizing ML models for classification, regression, and clustering tasks, as well as implementing MLOps pipelines for deployment and monitoring. Candidates must have proficiency in Python with scikit-learn/TensorFlow/PyTorch, SQL, statistical modeling, and cloud platforms (AWS/GCP/Azure) for remote work.
Key Highlights
Contract role with $30-$100/hour payout
Develop and deploy machine learning models for predictive accuracy
Implement MLOps pipelines for model deployment and monitoring
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Key Responsibilities
Design, train, and optimize machine learning models for classification, regression, and clustering tasks
Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights
Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining
Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems
Present findings and recommendations to stakeholders through clear visualizations and technical reports
Technical Skills Required
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Benefits & Perks
Remote work
Job Description
- Role: Data Scientist - AI/ML (Remote)
- Location: Remote (Work from Anywhere)
- Job Type: Contract
- Payout: $30 - $100/hour
Role Overview:
We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.
Key Responsibilities:
• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.
• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.
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