Data Science Innovator
hace 1 mes
The Company:
At Hewlett Packard, we're seeking a talented Data Science Innovator to join our team. As a key member of our marketing and eCommerce data science team, you'll be responsible for identifying business needs, aligning with key stakeholders, and leveraging the power of ML and AI to drive business strategy.
Frequently representing the organization to external customers/clients, you'll exercise significant independent judgment to determine the best method for accomplishing work and achieving objectives. Maintaining relationships with all stakeholders in the scoped domain is crucial.
**Responsibilities:**
- Define new approaches that could be considered industry-wide innovations (next practices)
- Develop and implement models to uncover patterns and predictions creating business value and innovation
- Provide guidance, training, and mentoring to less experienced staff members
- Collaborate effectively with Managers, Directors, and EXEC2s and EXEC3s
- Develop clear presentations for senior decision makers, including case for change, options, trade-offs, and recommendations
- Manage relationships with business partners to evaluate and foster data-driven innovation
- Support your people leader with skills assessment, feedback, hiring criteria/approach
- Tie insights into effective visualizations communicating business value and innovation potential
**Requirements:**
- 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
- 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
- Bachelor's, master's, or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent
- Typically, 10+ years of relevant work experience
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