Data Scientist, Audience and Marketing

Job Title:

Location:

Menlo Park

United States

Department:

Marketing

Job Requisition Number:

1008-23

Job Summary:

Quicken is committed to helping people lead healthy financial lives. We have been the #1 personal financial management software for over 40 years and are fueling our growth with new business models and products to become the most used, most loved personal finance brand.

You will be part of the newly formed marketing analytical team driving growth by leveraging advanced analytics. This role will report to the Head of Audience and Marketing Analytics.

Responsibilities:

Play a big part in identifying opportunities to help the marketing function scale through acquisition, onboarding, engagement and renewal strategies.
Using state-of-the-art machine learning models, help address the complex challenges of experimental design, budget allocation, marketing effectiveness, contact strategy, return on investment, user behavior, and channel effectiveness.
Work closely with the paid and CRM marketing teams and be responsible for campaign pre and post-analysis, cohorting, experiment design, segmentation, KPI measurement, and so much more.
Determine what 3rd party data sources Quicken should leverage to build audience segments. Explore the possibility of overlaps, segmentation, and data appends in developing audiences to produce richer more relevant segments.
Develop media optimization models such as media mix, channel attribution and audience based channel attribution modeling. Measure the impact of media for better ROAS. Measure the incremental effectiveness of media spend and model future spend.
Work closely with the paid and CRM marketing teams and be responsible for campaign pre and post-analysis, cohorting, experiment design, segmentation, KPI measurement, and more.
Build and implement incrementality measurement, understand customer journey to fulfill funnel gaps, optimize channel investments, and etc.

Qualifications:

Fully conversant in using advanced analytic techniques, machine learning, and data-driven strategies to build audiences and solve various business challenges across the prospect and customer journey.
6+ years industry experience and advanced degree in quantitative discipline
Experience in building audiences
Experience in Growth Marketing, Attribution Systems, Customer LTV
Experience building custom data models and algorithms to apply to data sets
Deep knowledge of experiment design and causal inference, strong analytical and causal reasoning mindset
Fluency in core set of Data Science
SQL/Hive, R/Python and ETL

Quicken is committed to fair and equitable compensation practices. The actual salary offered is determined by factors unique to each candidate, including but not limited to years and depth of experience, relevant skills, and work location. This position's expected base pay range is $125,000-150,000. Our compensation package includes a competitive salary, annual target bonus, equity, 401(k) match, health benefits, and other supplemental benefits and programs. In addition to eleven paid holidays, we offer vacation, sick, and paid parental leave.

Quicken is excited to build a team of innovative and talented people dedicated to helping people improve their financial lives. We believe in giving our employees the benefits and perks to keep them happy and healthy. Whether it’s generous healthcare benefits, a 5% matching 401(k) Plan, a gym subsidy, or unlimited snacks, we believe happy employees are successful employees. (Benefits and perks may vary based on location.) Come join our Quicken team!

Quicken is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.

Quicken Glassdoor Company Review

3.6