Data Scientist - Remote

Title: Sr. Data Scientist for Apple Experimental

TurboHire job code: T73059

Location: Sunnyvale CA

Remote: Yes.

Position type: FullTime 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 (Please refer to turbo hire for the complete JD)

Expertise in experimentation and statistical hypothesis testing (e.g. sample size determination/power analysis statistical tests confidence intervals etc.).

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:

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:

Bachelors degree with quantitative emphasis. Statistics Data Science Mathematics

Operations Research Computer Science Marketing Analytics or related field.