Suggest and analyze Lifecycle Marketing campaigns rooted in clients’ delight and friction.
Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives.
Turn initiatives into projects with clear rationale, candidate approaches and milestones.
Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings.
Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations.
Absorb and articulate the Marketing strategy and project rationales to Data Scientists.

Requirements

Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist.
Proficiency in Python and SQL
A strong foundation in practical Statistics including the use of causal inference.
Strong mathematical and software engineering skills.
Fluency in long and short form oral and written communication.
Ability to sharpen or reframe project requirements through effective collaboration.
Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills.
Experience in a Marketing facing role preferred, but not required

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonSQLStatisticsCausal inferenceMathematicsSoftware engineering

Oral communicationWritten communicationCollaborationMentoringProject management

Masters degreePhD degree