Data Scientist 4 – Messaging Data Science & Engineering

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

📋 Description

• Design and conduct comprehensive A/B tests to evaluate Messaging strategies across various channels, timings, content types, and targeting approaches.

• Utilize causal inference methods when clean experimentation is not practical.

• Establish and refine the experimentation standards and measurement framework for Messaging.

• Create a collaborative experimentation playbook for the wider team.

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

• Automate ongoing analysis tasks, including test evaluations, experiment dashboards, and campaign health assessments.

• Convert open-ended business inquiries into well-defined projects and provide data-driven recommendations.

• Develop scalable data solutions as Messaging ventures into new verticals and channels.

• Collaborate daily with the Consumer Messaging Program team and work alongside Product, Algos, Engineering, and other cross-functional partners.

⛳️ Requirements

• A minimum of 3 years of relevant experience.

• Proven expertise in experimentation and causal inference.

• Practical experience in designing and analyzing experiments.

• Proficient in applying causal inference and measurement techniques beyond standard A/B testing.

• Outstanding communication abilities with both technical and non-technical audiences.

• Capability to influence stakeholders through clear, actionable insights and recommendations.

• Strong partnership and stakeholder relationship management skills.

• Skill in translating vague requests into precise data science solutions.

• Proficient in SQL and Python.

• Experience in creating dashboards and automating processes.

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

• Ability to work autonomously and manage projects from start to finish.

• Capacity to excel in ambiguous situations.

• Experience in CRM, messaging/lifecycle marketing, or campaign analytics is a plus.

• Familiarity with algorithms as a product is advantageous.

• A PhD or Master's degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field is considered a strong qualification but not a mandatory requirement.

• Knowledge of Gen AI productivity tools is a desirable qualification for exceptional candidates.

🏝️ Benefits

• Annual compensation may be divided between salary and stock options.

• Health Plans.

• Mental Health support.

• 401(k) Retirement Plan with employer matching.

• 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, encompassing vacation, holidays, and sick leave.

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