• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 20th Jan 2026

• 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:

Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics,

Operations Research, Computer Science, Marketing Analytics, or related field.