
Data Science Manager II
Sierra Nevada Corporation
full-time
Posted on:
Location Type: Hybrid
Location: Lone Tree • California • Colorado • United States
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Salary
💰 $143,487 - $197,294 per year
About the role
- Lead SNC’s enterprise business integrated AI and Business Intelligence initiatives by designing and deploying scalable, ontology-driven solutions
- Drive digital transformation through advanced analytics, semantic data modeling, and integration of cutting-edge tools
- Own and optimize BI and AI platforms (e.g., Palantir Foundry, Azure AI Foundry) to enable scalable, production-ready solutions
- Build and maintain semantic models to unify data across systems, supporting interoperability and advanced analytics
- Implement and manage data ecosystems using Microsoft Fabric, Foundry, OpenPDM, and Neo4J for graph-based knowledge representation
- Drive enterprise-wide BI initiatives, enabling actionable insights and data-driven decision-making
- Promote BI versus AI literacy and innovation through programs and internal enablement using the right expertise within SNC and external partners
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- 10+ years of experience in data science, with at least 2 years in a leadership role
- Higher level relevant degree may substitute for experience
- Relevant experience can be considered as a substitute for the required educational qualifications
- In the absence of a degree, a minimum of 14 years of related experience is required
- Proven experience in AI/ML deployment at scale and BI strategy
- Expertise in ontology-based data management and graph technologies
- Hands-on experience with ontology tools such as Fabric, Foundry, OontoMe, OWLGrEd, Protégé, etc
- Strong leadership and stakeholder engagement skills
- Extensive experience with advanced machine learning algorithms and data modeling
- Experience managing multiple projects and teams
- Proficiency in data visualization tools (e.g., Tableau, Power BI)
- Strong ability to prioritize and communicate to technical and non-technical audiences
- Solid applied statistics skills, such as distributions, statistical testing, regression, etc.
- Understanding of machine learning techniques and algorithms, Large Language Models (LLMs)/Generative AI.
Benefits
- medical, dental, and vision plans
- 401(k) with 150% match up to 6%
- life insurance
- 3 weeks paid time off
- tuition reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceAI/ML deploymentbusiness intelligence strategyontology-based data managementgraph technologiesadvanced machine learning algorithmsdata modelingdata visualizationapplied statisticssemantic data modeling
Soft Skills
leadershipstakeholder engagementproject managementcommunicationprioritization