Senior Staff Data Scientist
GE Vernova
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • Illinois, South Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $144,800 - $217,200 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Collaborate with business/domain leaders to identify, prioritize, and scope high-value ML use cases
- define success metrics, and ensure measurable business impact
- Lead and oversee the end-to-end DS/ML lifecycle: data acquisition, cleaning, feature engineering, and exploratory analysis for industrial datasets
- Develop, validate, and tune models across regression, classification, time-series, anomaly detection, and ensembles
- Deploy models to production on cloud platforms (AWS/Azure/GCP)
- Own and influence the ML systems architecture
- partner with data/platform engineering to operationalize pipelines and integrate models into business applications and workflows
- Establish and champion standards, reusable assets, and best practices for data quality, governance, security-by-design, and validation across programs
- Mentor and coach data scientists/analysts
Requirements
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 10 years of experience
- minimum of 8 years’ experience in operations, maintenance or monitoring of at least one of the above industry domains
- Expert proficiency in Python and SQL
- strong in libraries such as Pandas, NumPy, scikit-learn
- experience with TensorFlow/PyTorch where deep learning is applicable
- Advanced time-series and anomaly detection for industrial data
- predictive maintenance modeling and feature engineering for sensor/telemetry and maintenance data
- Cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)
- CI/CD for ML, model registries, monitoring and drift detection
- Data management practices at scale: data quality and cleansing strategies
- 15 Years of overall experience in Data Science and Analytics field
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- access to Fidelity resources and financial planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLPandasNumPyscikit-learnTensorFlowPyTorchtime-series analysisanomaly detectionpredictive maintenance modeling
Soft skills
collaborationleadershipmentoringcoachingcommunicationinfluencingchampioning standardsorganizational skillsproblem-solvingstrategic thinking
Certifications
Bachelor's Degree in Computer ScienceSTEM Majors