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Analytics / Creative / Data / Data Science / Data Scientist / Design / Development / Engineering / Experience / Marketing / Operations / Other / Performance / Projects / PTI / Research / Retail

Data Scientist – Remote Engineer Full Time Remote



Title : Sr. Data Scientist for Apple – Experimental

TurboHire job code : T-73059


Location : Sunnyvale, CA


Remote : Yes.

Position type : Full-Time with Tavant

Rate : $160k Annum + Benefits (open for negotiation on the salary if the profile is a good fit)


Interviews : 1 round with Tavant + Client 2 rounds

KEY QUALIFICATIONS


  • Expertise in experimentation and statistical hypothesis testing (sample size determination, power analysis, statistical tests, confidence intervals).
  • Strong communication and presentation skills, including presenting 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.
  • Highly beneficial : Experience with advanced statistics, econometrics, or causal inference.
  • Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets.

Core responsibilities cover three pillars :

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

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.



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