Data Scientist 5, Messaging

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and execute comprehensive A/B tests to assess Messaging strategies, including aspects like channel, timing, content, and targeting.

• Utilize causal inference methods when clean testing is impractical.

• Establish and refine standards for Messaging experimentation and measurement frameworks.

• Manage code, data pipelines, and dataset enhancements that support analyses.

• Streamline ongoing analysis tasks, test reads, experiment dashboards, and health assessments of messaging campaigns.

• Foster a daily collaborative relationship between Messaging Data Science Engineers (DSE) and the Consumer Messaging Program team.

• Convert broad business requests into precisely defined projects.

• Offer data-driven insights for future strategic initiatives.

• Create scalable data solutions as Messaging branches into new business sectors and channels.

• Work in conjunction with the Consumer Messaging Program, Product, Algorithms, Engineering, and other cross-functional teams.

⛳️ Requirements

• Minimum of 5 years of relevant experience, showcasing expertise in experimentation and causal inference.

• Practical experience in designing and evaluating experiments.

• Proficiency in applying causal inference and measurement techniques that extend beyond standard A/B tests.

• Outstanding communication skills for engaging both technical and non-technical audiences.

• Strong capacity for thought partnership and the ability to establish credibility through clarity and sound judgment.

• Skill in transforming vague requests into clear data science solutions.

• Proficient in SQL and Python, including experience with dashboard creation and automation.

• Good judgment in balancing stakeholder or test-specific requirements with scalable solutions.

• Capacity to work independently, manage projects from inception to completion, and excel in uncertain environments.

• Experience in CRM, messaging/lifecycle marketing, or campaign analytics (exceptional candidate).

• Familiarity with algorithms as a product (exceptional candidate).

• PhD/Master's degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative discipline (exceptional candidate).

• Knowledge of Gen AI productivity tools (exceptional candidate).

🏝️ Benefits

• Health Plans

• Mental Health support

• 401(k) Retirement Plan with employer match

• Stock Option Program

• Disability Programs

• Health Savings and Flexible Spending Accounts

• Family-forming benefits

• Life and Serious Injury Benefits

• Paid leave of absence programs

• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off

• Full-time salaried employees are immediately entitled to flexible time off