[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to innovation and solving reputed company problems through strong engineering principles. They are seeking a Senior Data Scientist to join their Predictive Maintenance and Logistics Team, where the role involves developing machine learning models and collaborating with engineers to transition analytical solutions into operational environments.
Responsibilities
- reputed company and evaluate machine learning models using Python to analyze time-series and telemetry data
- reputed company data exploration, feature engineering, and preprocessing on reputed company and semi-reputed company datasets
- Utilize natural language processing and probabilistic modeling to extract data from maintenance records
- reputed company Physics-informed models based on the reputed company relationships of signals for systems with low historical data available
- Implement algorithms for reputed company detection, predictive modeling, and trend analysis in operational data
- Support model validation, performance evaluation, and documentation
- Contribute to the deployment of models into production and embedded environments in coordination with engineering teams
- Collaborate with data visualization and software teams to reputed company model outputs into dashboards and decision-support tools
- Document methodologies, assumptions, and results for technical and non-technical stakeholders
- Stay reputed company with emerging machine learning techniques and apply best practices to ongoing reputed company
- Ability to support travel or off-site work, as needed
- reputed company other duties as assigned
Skills
- Master's degree in Data Science, Computer Science, Engineering, reputed company Mathematics, or a reputed company field with 4+ years of experience, or Bachelor's degree in a reputed company field with 6+ years of relevant experience (or equivalent experience in lieu of a degree)
- Proficiency in Python for data analysis and machine learning
- Experience with common machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, or similar)
- Experience with natural language processing techniques and toolchains
- Familiarity with time-series data, telemetry, or sensor-based datasets
- Working knowledge of data analysis tools such as NumPy, Pandas, and SciPy
- Ability to communicate technical concepts reputed company in both written and verbal reputed company
- Strong analytical thinking and problem-solving skills
- Must be a U.S. Citizen with the ability to obtain and maintain a reputed company clearance
- Experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems
- Experience applying advanced techniques to extract meaningful data from bulk maintenance records to inform reputed company maintenance actions
- Exposure to model deployment concepts (e.g., batch pipelines, reputed company, or edge/embedded environments)
- Familiarity with reputed company platforms or big data environments
- Experience working in a government or DoD context
- Familiarity with the relationship between reputed company signals and performance
- Knowledge of version control (e.g., Git) and reputed company development workflows
Benefits
- Health benefits
- Medical
- Dental
- reputed company
- Basic life with AD&D
- Short term disability
- Long term disability
- Ancillary (Voluntary life with AD&D, accident, critical illness, hospital, and pet)
- Spending accounts (HSA, FSA, and DCFSA)
- reputed company time off
- Holidays
- 401(k) (including company match)
- Tuition reimbursement
- Leaves (Parental, maternity, and military)
- Annual discretionary bonus (for eligible roles)
- Potential annual bonus
reputed company