Data Scientist - Growth/Marketing Analytics
San Francisco Office
Full Time Mid-level / Intermediate USD 212K - 469K
Kikoff
Kikoff makes it easy to build credit fast with affordable monthly plans. No credit check, no interest, no hidden fees. Reports to all 3 major credit bureaus. Sign up in minutes.You will be leading the growth data science area to boost our user growth, working closely with product data scientists and marketing team. You will develop deep understandings of user behaviors and build attribution models to understand our marketing campaign efficiency. Main responsibilities includes
Inform customer acquisition strategies and support growth marketing decisions
Experienced in solving the attribution puzzle and understanding the incrementality of marketing channels and campaigns. Able to assess the true impact of marketing efforts and refine strategies for maximum ROI.
Customer Journey Analysis: Deep understanding of customer journey phases, from awareness to conversion, and expertise in analyzing key business metrics across the funnel to identify opportunities for growth and optimization.
Expertise in Experimentation Design: Proficient in designing and executing a variety of experiments, including A/B testing, matched market testing, and causal inference techniques to optimize marketing strategies and measure the impact of marketing efforts on key business outcomes.
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
Create personalized segmentation strategies leveraging propensity models to enable campaign personalization
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Drive innovation in data tooling and frameworks to support deeper and scalable insights
Qualifications
An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, attribution model
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
3-5 years experience using analytics to drive key business decisions in growth/marketing analytics
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal supervision
Expert knowledge of SQL and python
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Strong verbal and written communication skills
What we’re like:
- Scrappy. We had a product goal and put out the MVP, collecting our first users with steady growth via paid channels in four months. We don’t cut corners when we know we’ll need them but we don’t build things without that need. We don’t like inefficiency but we dislike operationalizing one-off tasks even more.
- Risk-oriented. Everything has risk, but a mature team knows how to make these tradeoffs. That’s why we built the MVP fast––because time is your most valuable asset and is practically fungible with money in the startup world.
- Data-obsessed. We all look at data and pull it, and we believe that understanding the mechanics can yield valuable insights. Complex systems require elegant, not just simple solutions. You absolutely need to be interested in data if you want to leverage your knowledge of systems.
- Lucky. That’s how we look at this journey so far. From our timing of fundraising, to the circumstances in which we came together, to the initial product traction we’re getting, there’s no other word to describe it. We are grateful you are reading this, and we know that if you’re meant to be with us on this journey, then we will see you soon.
About Kikoff:
Kikoff is a personal finance platform designed to help millions of underserved Americans achieve financial wellness. Our mission is to provide refreshingly fair, effective, and simple pathways for everyday people to meet their financial goals. We design financial products that simplify credit building so our users can reach their financial goals. Kikoff is a Series B company and has raised over $42 million in total funding. Investors include Portage Ventures, Lightspeed Venture Partners, GGV, Coatue, Core Innovation Capital, and basketball star Stephen Curry. Kikoff was founded in 2019 and is headquartered in San Francisco with an office in Reno.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We are backed by some of Silicon Valley’s top VCs. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
Competitive pay based on experience
🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!
📈 Stock Options
🏝 Flexible vacation policy to help you recharge
💰 US salary range for this full-time position consists of base + equity + benefits
Location: San Francisco, CA
Visa sponsorship available: Kikoff is willing to provide sponsorship for H1-B visas and U.S. green cards for exceptional talent.
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Please reference the following information for more information:
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdfhttps://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf
Tags: A/B testing Causal inference Computer Science Economics Engineering Finance FinTech Mathematics MVP Python SQL Statistics Testing
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Startup environment Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.