Growth Marketing Intern: AI, Data Science & Adoption

Hewlett-Packard Company

Fort Collins (CO)

Hybrid

USD 52,348 - 66,124

Full time

14 days+
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Job summary

Hewlett-Packard Company is seeking a skilled professional to enhance user adoption for our AI and data science software. The successful candidate will develop strategies, analyze behaviors, and leverage insights for growth.

Required skills include data-driven analytics, AI proficiency, digital marketing expertise, and strong communication skills. An MBA with focus on Growth Marketing is preferred. This role offers a competitive hourly compensation in the range of $38 - $48 based on location.

Qualifications

  • Proficient in utilizing data science tools to analyze user behavior and extract actionable insights.
  • Capability to leverage AI tools to enhance marketing strategies and optimize user engagement.
  • Ability to plan and execute marketing strategies for new tiers and offerings in the AI space.
  • Familiarity with digital marketing strategies, including social media, email, content marketing, SEO/SEM.
  • Effective communication skills to convey complex data insights.

Responsibilities

  • Develop and execute strategies for increased user adoption of HP's AI and data science software.
  • Leverage data insights to advise on campaigns for network effects.
  • Generate concise reports on user adoption metrics to support GTM strategies.

Skills

Data-Driven Analytics
AI and Machine Learning Acumen
Strategic Marketing Mindset
Digital Marketing Expertise
Communication and Collaboration Skills

Education

MBA Candidate with focus on Growth Marketing

Job description

Hewlett-Packard Company is seeking a skilled professional to enhance user adoption for our AI and data science software. The successful candidate will develop strategies, analyze behaviors, and leverage insights for growth.

Required skills include data-driven analytics, AI proficiency, digital marketing expertise, and strong communication skills. An MBA with focus on Growth Marketing is preferred. This role offers a competitive hourly compensation in the range of $38 - $48 based on location.

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