About this role
As a Data Scientist at Kikoff, you will leverage your analytical expertise and technical skills to enhance product development aimed at improving customers' financial security. This role involves collaborating with cross-functional teams to identify product opportunities, analyzing data to inform decision-making, and effectively communicating insights through compelling data stories. You will employ various statistical techniques and methodologies to tackle challenges and promote data-driven strategies that deliver value to the end-users.
Required Skills
- Product Leadership
- Data Analysis
- Hypothesis Development
- Communication Skills
- SQL Expertise
- Python Experience
- Statistical Analysis
- Experimentation Design
- Team Collaboration
- Analytical Techniques
Qualifications
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- Minimum of 2 years of work experience in analytics
- Expert knowledge of SQL
- Experience with Python
- Deep understanding of statistical analysis
- Experience in experimentation design
- Familiarity with common analytical techniques like regression and decision trees
About Kikoff
kikoff.comKikoff is a financial technology company that offers credit-building tools and services geared towards helping individuals improve their credit scores. With plans starting as low as $5 per month, Kikoff provides a variety of features, including a Kikoff Tradeline that reports to major credit bureaus, credit monitoring, and debt negotiation services. The platform is designed to be user-friendly, enabling customers to build credit safely and efficiently without credit checks or hidden fees, and aims to empower users to take control of their financial future. Since its inception, Kikoff has successfully assisted numerous users in significantly increasing their credit scores.