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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science methodologies, statistical analysis, and model development to drive business innovation and value. Proficient in communicating complex data insights effectively to senior stakeholders and leading cross-organizational projects.
Highest-signal resume keywords
Data Science MethodologiesStatistical AnalysisModel DevelopmentPython ProgrammingSQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsMathematicsAlgorithmsTest DesignCustomer SegmentationCleanroom TechnologyMTAMMMData VisualizationPredictive Modeling
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsMentoringCollaboration
Industry Keywords
Data-Driven InnovationBusiness StrategyCross-Organizational ProjectsDigital MarketingAI Operationalization
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Proactively review technical literature, learn new methodologies, and align with Data Science leaders
- Develop innovative solutions to existing and new business challenges
- Identify business needs, align with key stakeholders, organize analytics teams, connect model findings to business strategy, and generate practical recommendations
- Define and implement models to uncover patterns and predictions that create business value and innovation
- Lead complex cross-organizational projects involving several Data Scientists
- Provide guidance, training, and mentoring to less experienced staff members
- Provide domain-specific expertise in cross-organization projects and initiatives
- Collaborate with Managers, Directors, EXEC2s, and EXEC3
- Develop presentations for senior decision makers covering the case for change, options, trade-offs, and recommendations
- Manage relationships with business partners to evaluate and foster data-driven innovation
- Support the people leader with skills assessment, feedback, and hiring criteria/approach
- Tie insights into effective visualizations communicating business value and innovation potential
- Maintain proficiency in data science and contribute to industry data science initiatives
- Lead high-impact initiatives influencing global marketing investment decisions
- Shape how AI, experimentation, and analytics are operationalized across HP’s digital direct marketing ecosystem
Requirements
What you’ll need- Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent
- Typically, 6-10 years of relevant work experience
- Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems
- Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM
- Ability to define and create complex models to pull valuable insights, predictions, and innovation from data
- Ability to effectively and creatively tell stories and create visualizations to describe and communicate data insights
- Strong analytical and problem-solving skills
- Proficient in Python and SQL
- Excellent written and verbal communication skills; mastery in English
- Ability to effectively communicate data insights and negotiate options at senior management levels
Benefits
Comp & perks- Ongoing training and educational opportunities
- Strong internal mobility program
- Career growth opportunities
- Coaching and mentoring from experienced staff
- Equal employment opportunity