Job Details

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.