Bachelor's degree or higher in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
At least 2 years of experience in analytics.
Expertise in SQL and experience with Python programming.
Strong understanding of statistical analysis and experimentation design.
Proficiency in analytical techniques including regression and decision trees.
Excellent verbal and written communication skills.
Collaborative, curious attitude with a focus on problem-solving.
Responsibilities
Lead product development by using data to shape strategies and identify challenges.
Develop and test hypotheses using diverse analytical methodologies and frameworks.
Communicate clear data narratives to influence cross-functional partners.
Quantify new opportunities and set data-driven goals for product enhancements.
Identify and tackle major product development challenges using data insights.
Benefits
Opportunity to work with experienced entrepreneurs in a rapidly growing fintech environment.
Impactful work that directly helps consumers improve their financial security.
Strong emphasis on ownership and craftsmanship in work.
Collaborative culture that encourages clear communication.
Full Job Description
At Kikoff, our Enterprise Data Scientists sit at the intersection of data, strategy, and partnerships. You will work closely with internal teams - including Business Development, Product, Engineering, and Data Engineering - as well as external partners to drive mutual value through rigorous data analysis. Your work will directly inform how Kikoff grows and optimizes its partnership ecosystem, identifying new opportunities and deepening existing relationships.
Responsibilities
Partnership analytics: Own the analytical framework for measuring and improving the performance of existing partnerships. Develop metrics, build dashboards, and deliver actionable insights that help both Kikoff and its partners maximize value from the relationship.
Partner development & EDA: Conduct exploratory data analysis to surface signals in data that identify new potential partners - understanding market fit, customer overlap, and opportunity sizing to help business development prioritize outreach.
Strategic influence: Translate complex analyses into clear, compelling narratives for both internal stakeholders and external partners. Serve as a data-driven voice in partner conversations and business reviews.
Analytical rigor: Develop and test hypotheses using a robust toolkit - including statistical modeling, regression, segmentation, and causal inference - to evaluate partnership performance and guide strategic decisions.
Cross-functional collaboration: Partner closely with Business Development, Product, and Operations to align on goals, define success metrics, and ensure data integrity across the partnership lifecycle.
Qualifications
Bachelor's degree or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field
4+ years of experience in analytics, preferably with exposure to partnerships, business development, or B2B enterprise contexts
Expert proficiency in SQL
Solid understanding of statistical analysis, experimentation design, and common ML techniques
Demonstrated ability to communicate data findings clearly to both technical and non-technical audiences, including external stakeholders
Collaborative, intellectually curious, and comfortable navigating ambiguity in a fast-moving environment
