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Senior Consultant, Data Science – Analytics
TransUnion. Lead the design and delivery of complex machine learning, advanced analytics, and artificial intelligence solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and delivery of machine learning and advanced analytics solutions, with a strong focus on mentoring, technical guidance, and cross-functional collaboration. Proficient in translating complex business challenges into actionable analytical solutions using advanced machine learning techniques and tools.
Highest-signal resume keywords
Machine Learning ExpertisePython ProficiencySQL ProficiencyTechnical LeadershipAdvanced Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningStatistical ModelingData ScienceAnalytical DesignProduction ImplementationAutomationAnalytical SolutionsCloud-Based AI PlatformsScalable Machine Learning SolutionsBigQuery
Soft Skills
MentoringCommunicationCollaborationInfluencingKnowledge Sharing
Tools & Technologies
BigQueryMachine Learning ToolsCloud-Based Platforms
Industry Keywords
Data ScienceAdvanced AnalyticsArtificial IntelligenceTechnical StandardsSolution Design
Tech Stack
Tools & technologiesBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Lead the design and delivery of complex machine learning, advanced analytics, and artificial intelligence solutions
- Establish technical standards, reusable best practices, and solution-design approaches
- Provide technical direction across multiple projects
- Lead end-to-end delivery from problem definition and analytical design through production implementation and ongoing improvement
- Evaluate emerging technologies and identify opportunities to strengthen automation and analytical capabilities
- Partner with Product, Engineering, and business leaders on technical solutions and cross-functional execution
- Present analytical findings, business impact, and recommendations to technical and nontechnical audiences
- Mentor and coach team members, lead knowledge-sharing activities, and contribute technical expertise to hiring efforts
- Influence technical and strategic decisions across teams and business functions
Requirements
What you’ll need- Bachelor’s degree or higher in a quantitative field, or equivalent knowledge and experience relevant to data science, machine learning, or advanced analytics
- Four to six years of experience in data science, machine learning, advanced analytics, or a related discipline
- Experience leading complex analytics or machine learning initiatives through design, development, implementation, and delivery
- Experience providing technical guidance, mentoring colleagues, and supporting knowledge development across a team
- Experience translating complex business challenges into analytical solutions and communicating recommendations to diverse stakeholders
- Advanced knowledge of machine learning and statistical modeling
- Advanced proficiency with Python and Structured Query Language (SQL)
- Experience using BigQuery and modern machine learning tools or ecosystems
- Experience working with cloud-based artificial intelligence and data platforms
- Experience developing scalable, production-grade machine learning solutions with appropriate quality and performance standards
Benefits
Comp & perks- Work/life flexibility
- Resources to support professional development and growth
- Opportunities to grow, innovate, and contribute to communities and customers
- Access to support for professional development
- Occasional in-person attendance at work-related events