Senior AI Solutions Engineer, AI Studio

VF Corporation

. Apply advanced data science methods to solve business problems, generate actionable insights, and support data-driven decision making .

Posted 9/22/2026full-timeUnited StatesSenior💰 $142,560 - $178,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying advanced data science methods, including statistical analysis, predictive modeling, and machine learning, to generate actionable insights and support data-driven decision-making. Proficient in Python, R, SQL, and data visualization tools, with strong communication skills to convey complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

Statistical AnalysisPredictive ModelingMachine Learning TechniquesData Visualization ToolsCloud-Based Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceAdvanced AnalyticsStatistical AnalysisPredictive ModelingMachine LearningPythonRSQLData VisualizationData Quality Assurance

Soft Skills

Communication SkillsStakeholder ManagementProblem SolvingCollaborationInfluencing Decisions

Tools & Technologies

Data Science ToolsCloud-Based Data PlatformsData Governance StandardsAnalytical Solutions

Industry Keywords

Data-Driven Decision MakingLarge-Scale DatasetsContinuous ImprovementAnalytical RequirementsEmerging Data Science Tools

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Apply advanced data science methods to solve business problems, generate actionable insights, and support data-driven decision making
Design, develop, and deploy statistical, predictive, and machine learning models
Analyze large structured and unstructured datasets to identify trends, opportunities, and risks
Collaborate with business, product, and technology teams to define analytical requirements and translate them into scalable solutions
Communicate findings and recommendations through visualizations, reports, and presentations
Ensure data quality, integrity, and adherence to governance standards
Contribute to continuous improvement of analytics capabilities, methodologies, and best practices
Support evaluation and implementation of emerging data science tools and technologies
Address ambiguous or complex issues, identify root causes, evaluate alternatives, and recommend practical actions
Influence decisions through data-driven insights and recommendations and drive adoption of analytical solutions
Deliver high-quality analytical outcomes within agreed timelines and independently escalate significant risks or issues when appropriate

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field; equivalent relevant experience may be considered in lieu of a degree
Typically 5+ years of experience in data science, advanced analytics, or a related discipline
Strong understanding of statistical analysis, predictive modeling, and machine learning techniques
Proficiency in Python, R, SQL, and data visualization tools
Experience working with cloud-based data platforms and large-scale datasets
Strong communication and stakeholder management skills with the ability to explain technical concepts to non-technical audiences

Benefits

Comp & perks

Additional compensation awards may include an annual incentive plan, sales incentive, or commission potential
Benefits programs, including medical plan options
Reasonable accommodations for qualified individuals as required by applicable law