Data Scientist, Experimentation

Cupertino, CA 95014
  • Job Code
    200229367
  • Jobs Rated
    1st
Summary

Summary

Posted: Mar 10, 2021

Weekly Hours: 40

Role Number:200229367

Marcom is Apple's Global Marketing Communications group. We oversee all of Apple's advertising and marketing to...Summary

Summary

Posted: Mar 10, 2021

Weekly Hours: 40

Role Number:200229367

Marcom is Apple's Global Marketing Communications group. We oversee all of Apple's advertising and marketing to ensure the flawless development and execution of world-class communications.

Marcom Data Science is responsible for delivering insights about Apple's marketing efforts. We lead and support analyses across Apple.com, Apple Store App, Channel Digital, email marketing, social media, and paid media.

We're looking for a top-notch Data Scientist to lead the design and analysis of our experiments. You will join our cross-functional Optimization team comprised of Data Scientists, Creatives, Developers, and Producers. You will uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results.

If you're passionate about the intersection between marketing, data science, and experimentation, we encourage you to apply! We're building an incredible function from the ground up and believe you'll find a highly energized environment to share your expertise and help boost data-driven innovation within Marcom.

Key Qualifications

  • Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).
  • Strong communication and presentation skills with the ability to present analyses to a diverse group of stakeholders including data scientists, creatives, and marketing leaders.
  • Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.
  • Strong data querying skills (SQL) and experience with a scripting language (Python or R).
  • Excellent time management skills and ability to manage multiple A/B testing projects in various stages of development.
  • Team player who enjoys collaborating with others.
  • Beneficial but not required:
  • Experience with econometrics and quasi-experiments.
  • Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets.

Description

Core responsibilities cover three pillars:

DIGITAL ANALYTICS:

Lead a select number of strategic analyses to provide teams and leaders with actionable insights regarding opportunities to improve traffic, engagement, and conversion.

Turn optimization hypotheses into A/B test proposals. Partner with Marcom Producers, Creatives, and Developers to determine the A/B test population, user experience, KPIs, and runtime requirements.

EXPERIMENT ANALYSIS:

Design experiments, analyze results, develop insights, and summarize recommendations.

Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs.

RESEARCH & DEVELOPMENT:

Partner with Data Scientists across Marcom, Retail, and Operations on projects to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.

Education & Experience

Bachelor's degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field.

Master's Degree desirable.

Minimum 3-5 years of relevant industry experience.

Additional Requirements

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Data Scientist, Experimentation

Apple, Inc.
Cupertino, CA 95014

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Data Scientist
1st2019 - Data Scientist
Overall Rating: 1/199
Median Salary: $114,520

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