Mobile Growth Data Scientist & Strategy Partner

Adobe Inc.

San Jose (CA)

Hybrid

USD 139,000 - 201,000

Full time

6 days ago
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Job summary

Adobe Inc. is seeking a seasoned Data Scientist to drive the rapid growth of the mobile business. This hybrid role blends data science with strategic decision-making, delivering actionable recommendations across the customer journey from acquisition to retention.

You will partner with GTM, Sales, PM, PMM, and other stakeholders to influence decisions through clear data storytelling, model building, and experiment results.

Qualifications

  • Bachelor's degree or equivalent in quantitative fields; MBA or master's preferred.
  • 3-5 years hands-on quantitative analysis experience in tech or consulting.
  • Proficiency in querying/manipulating large data sets with SQL-like languages.
  • Experience building and training statistical/data science models.

Responsibilities

  • Apply quantitative analysis and data modeling to reveal insights on customer behavior and journey across surfaces.
  • Partner with GTM leads, Sales, PM, PMM, and others to influence decisions through data storytelling and experiments.
  • Identify business opportunities, build use cases, and propose DS initiatives to guide data-driven product roadmap.
  • Use data science models to tackle business challenges and enable scalable, recurring business unlocks.
  • Suggest testing ideas based on analysis.

Skills

SQL
Data storytelling
Statistical analysis
Data modeling
Experiment results
Communication
AI tools

Education

Bachelor's degree or equiv in quantitative fields
MBA or Master's preferred

Tools

Tableau
Power BI
AI tools

Job description

Adobe Inc. is seeking a seasoned Data Scientist to drive the rapid growth of the mobile business. This hybrid role blends data science with strategic decision-making, delivering actionable recommendations across the customer journey from acquisition to retention.

You will partner with GTM, Sales, PM, PMM, and other stakeholders to influence decisions through clear data storytelling, model building, and experiment results.

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