Data Scientist, Lifecycle Marketing

Wealthfront•Palo Alto, CA

2d•$164,000 - $184,000

About The Position

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance. The Data Scientist in this role will be primarily embedded within Wealthfront’s Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications. The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning. A key desired trait for this role is an ability to collaboratively create experiments based on clients’ hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.

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.

Nice To Haves

Experience in a Marketing facing role preferred, but not required

Responsibilities

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.