Lead Data Scientist

Fulltime Position

Remote Position

Interviews: 1 round with Tavant + Client 2 rounds

Need Someone with good A/B testing and data storytelling experience is required.

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.

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.

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.