Kikoff
Data Scientist - Growth/Marketing Analytics
Kikoff, San Francisco, California, United States, 94199
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 include:
Are you the right candidate for this opportunity Make sure to read the full description below. 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. 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. 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.
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Are you the right candidate for this opportunity Make sure to read the full description below. 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. 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. 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.
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