Sr. Data Scientist
New
Fully remote position within the United States (excluding certain states)Full-TimeSenior
Salary98,837 - 154,546 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningPyTorchTensorflowMLOps
Requirements
- Bachelor’s degree in Engineering (Mechanical, Electrical, Chemical, Aerospace preferred) or related field
- 5+ years of experience in data science, machine learning, signal processing, or applied analytics
- Proven experience working with time-series, sensor, or industrial IoT data in production environments
- Strong proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), SQL, and visualization tools
- Experience building and deploying ML models for predictive maintenance, anomaly detection, or asset monitoring
- Familiarity with MLOps practices including CI/CD, model versioning, and pipeline orchestration tools
- Strong analytical thinking and ability to solve complex engineering-driven data problems
- Excellent communication skills and ability to collaborate across technical and business teams
Responsibilities
- Develop, train, and deploy machine learning models for time-series, sensor, and industrial IoT data
- Build predictive maintenance, anomaly detection, and forecasting models using statistical and deep learning techniques
- Perform data preprocessing, feature engineering, and signal processing on large-scale, noisy industrial datasets
- Design and maintain end-to-end ML pipelines, including data ingestion, model training, deployment, and monitoring
- Apply statistical analysis, experimentation, and validation techniques to ensure model robustness and reliability
- Collaborate with engineering and domain experts to translate operational challenges into data science solutions
- Communicate insights, model results, and business impact to technical and non-technical stakeholders
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