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Fulltime Disney Data Science information
What is the difference between Fulltime Disney Data Science vs Fulltime Disney Data Analyst?
| Aspect | Fulltime Disney Data Science | Fulltime Disney Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Computer Science, or related field; experience with machine learning and statistical modeling | Degree in Data Analysis, Statistics, or related field; proficiency in data visualization and reporting tools |
| Work Environment | Collaborative teams focused on predictive modeling, algorithm development, and advanced analytics | Operational teams analyzing data trends, generating reports, and supporting decision-making |
| Employer & Industry Usage | Used across Disney departments for innovative projects and product development | Used for business insights, marketing analysis, and operational improvements within Disney |
Fulltime Disney Data Science roles focus on developing complex models and algorithms, requiring advanced technical skills. In contrast, Fulltime Disney Data Analysts primarily interpret data, create reports, and support strategic decisions. Both roles are essential but differ in technical depth and project scope.
- Online Research Scientist
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$145K - $155K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 15 days ago
Job description
Clearance: TS/SCI with CI Polygraph
- You’ll Shape AI for the Mission: Design and deploy models that extract real-world value from signal and sensor data.
- You’ll Drive Scalable ML Systems: Lead the integration of automated retraining and deployment pipelines within secure cloud environments.
- You’ll Mentor and Lead: Share your expertise with junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- AI/ML Solution Development: Lead the creation and optimization of advanced ensemble, neural network, and unsupervised learning models tailored to mission data.
- Automation amp; Scalability: Design automated pipelines for data ingestion, curation, and retraining to ensure model adaptability and long-term performance.
- Validation amp; Explainability: Coordinate with analysts and mission experts to validate models, track accuracy metrics, and enforce compliance with explainability and transparency standards.
- Model Deployment: Integrate and operationalize ML models into production systems, collaborating with DevSecOps to align with CI/CD pipelines and mission constraints.
- Monitoring amp; Optimization: Implement tools for continuous monitoring, A/B testing, and drift detection to maintain model reliability.
- Team Leadership: Mentor junior team members, review code and models, and promote best practices in data science methodology, governance, and reproducibility.
- Machine Learning amp; AI: Ensemble models, CNNs, RNNs, Transformers, unsupervised and semi-supervised learning
- Frameworks amp; Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost
- Data Infrastructure: Feature stores, distributed computing frameworks (Spark, Ray, Dask)
- Deployment amp; Monitoring: MLflow, DVC, Docker, model monitoring, A/B testing, data drift detection
- Analytical Expertise: Causal inference, signal data processing, experiment design, model interpretability (SHAP, LIME)
- Collaboration Tools: Jupyter Notebooks, Git, Confluence, Agile/DevSecOps environments
- Experience: Five (5) to ten (10) years of experience designing, training, and deploying ML models within the DoD or Intelligence Community, including experience leading technical teams or enterprise AI initiatives.
- Education:
- Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science).
- A Master’s degree may substitute for two years of experience; a PhD may substitute for four years.
- An additional two years of related experience may substitute for a Bachelor’s degree.
- Certifications: None required.
- Clearance: TS/SCI with CI Polygraph.
Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.
- Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
- DeNOVO Paid Health Reimbursement Account (HRA).
- 401k with 6% Match.
- 11 Paid Federal Holidays.
- 120 hours of Paid Time Off (PTO).
- Company Outings and Trips.
- Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance.
- HomeFundIt Company Down Payment Match – Employer match towards the down payment of buying a new home.
About DeNovo Solutions
Sourced by ZipRecruiter
Industry
Software development
Company size
1 - 10 Employees
Headquarters location
Centennial, CO, US
Year founded
2012