179 applicants

Company

Original Job Post

Athletic Greens · 2 days ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

$182K/yr - $210K/yr

8+ years exp

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Comp. & Benefits

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Responsibilities

Collaborate with data engineering team to build an internal attribution model.

Drive LTV and retention modeling that will influence business recommendations aimed to bolster customer retention.

Roam our data to build insights that will inform key stakeholders on existing investments as well as potential investments for growth.

Solve ad hoc data problems that arise providing strategic solutions to enhance performance.

Support the Member Experience team in identifying opportunities to optimize LTV metrics and retention performance.

Drive onboarding and management of a test and experiment platform.

Provide forecasting on financial impact of retention efforts.

Assess LTV levers and identify metrics that impact LTV (i.e. M1 retention, M2 retention, etc).

Provide reporting on the various investments made to drive LTV and retention each week to understand the broader impact to main funnel metrics (i.e. CPM, CTR, CPS, CVR, CAC).

Incorporate demographic data to support insights and optimizations that will enable greater membership retention.

Gather and analyze data from various sources, including CRM, web analytics, and media platforms, to identify trends and opportunities for growth.

Build predictive models to forecast customer behavior and inform Member Experience and Marketing strategies.

Conduct attribution analysis to determine the impact of each customer touchpoint on customer behavior.

Stay up-to-date with industry trends and changes in marketing measurement best practices, and share insights / recommendations to ensure our strategies are always relevant and effective.

Support other related work as directed by the heads of the department.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMarketing MeasurementData AnalysisPythonRSQLSASProject ManagementAnalytical SkillsAttention to DetailCommunication SkillsCollaborationAdaptabilityPassion for hobbies

Required

8+ years of experience in data science, marketing measurement, or a related field.

Expert-level proficiency in data analysis tools such as Python, R, SQL, and/or SAS.

Strong analytical skills and ability to translate complex data into actionable insights.

Knowledge of marketing landscape and industry trends.

Strong attention to detail and a proven ability to manage multiple work streams at once.

Excellent communication skills, with the ability to present data and insights to senior leadership and stakeholders at all levels of the organization.

Ability to work collaboratively in a team environment and manage multiple projects and priorities simultaneously.

Comfort operating in ambiguous and changing situations to deliver on the right results.

Excited to be collaborating with performance marketing teams in a global, high growth, late-stage private or public, consumer-focused company.

Preferred

Bachelor degree in physics, mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation.

However, a Bachelor or other tertiary qualification is not required - we welcome other backgrounds.

A full life outside of work with personal passions and hobbies!