Senior Data Scientist
Skills
Computer ScienceContextData AnalyticsDecision SupportEnhanced Data Rates For GSM EvolutionModelingPhysics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master’s degree in Data Science Computer Science Engineering Applied Mathematics or related field with 4+ years of experience or Bachelor’s degree with 6+ years of relevant experience
- Proficiency in Python for data analysis and machine learning
- Experience with machine learning libraries such as scikit-learn PyTorch or TensorFlow
- Experience with natural language processing techniques and toolchains
- Familiarity with time-series data telemetry or sensor-based datasets
- Working knowledge of NumPy Pandas and SciPy
- Ability to communicate technical concepts clearly in written and verbal form
- Strong analytical thinking and problem-solving skills
- Must be a U.S. Citizen with the ability to obtain and maintain a security clearance
Nice to have
- Predictive maintenance
- Health monitoring
- Operational analytics
- Cloud familiarity
- DoD experience
- Git
Day to day
- Develop and evaluate machine learning models in Python for time-series telemetry and operational data.
- Perform data exploration feature engineering and preprocessing on structured and semi-structured datasets.
- Collaborate with engineers visualization specialists and program leadership to deploy analytical solutions into operational environments.