Data Scientist, Kandji

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
• 3+ years of experience in data analysis, preferably within a product-focused or SaaS environment
• Strong proficiency in SQL, Python, or similar programming languages used for data analysis
• Experience with data visualization tools such as Omni, Tableau, Looker, or similar platforms
• Experience conducting A/B testing, interpreting the results to inform product decisions, and ability to customize test metrics and statistical structure
• Demonstrated ability to analyze complex datasets and deliver clear, actionable insights that drive product improvements
• Strong communication skills, with the ability to present data insights to both technical and non-technical audiences
• Familiarity with product development processes and the role played by data in product management, design, and engineering

Desirable

• We are hiring a Product Data Scientist to join our growing Growth & Experience team
• Our mission is to empower users to independently discover, purchase, adopt, and thrive with Kandji’s solutions by delivering frictionless onboarding, intuitive tools, and automated processes that minimize barriers to success
• You will leverage your technical skills and analytical business mindset to deliver an exceptional experience to our customers, shape product development, and quantify new opportunities that accelerate growth at Kandji
• You will work closely with cross-functional partners—including Product, Engineering, Data, Design, Marketing, Sales, Finance, and more—to identify and capture opportunities by delivering actionable recommendations that enhance user experience across all customer touchpoints
• Work with large and complex datasets to analyze user behaviors, pain points, and opportunities for improved product experiences
• Partner with Product, Engineering, and Design teams to measure the impact of new product features and user journey enhancements, providing data-driven recommendations for further improvements
• Design and implement A/B testing strategies to evaluate product changes and enhancements, and interpret results to inform product decisions
• Conduct exploratory data analysis on customer feedback, user flows, and product usage to identify patterns and trends that can inform product direction
• Provide analytical support to leadership and product managers, helping to set product KPIs, forecast performance, and determine areas for optimization
• Build and maintain dashboards, reports, and visualizations to communicate key metrics and insights across Product and GTM teams
• Partner with the revenue and finance teams to support GTM strategies through data analysis, customer acquisition cost (CAC) assessment, and revenue forecasting
• Maintain and refine data models that facilitate deeper analysis of product experience and growth metrics, contributing to data accuracy and consistency
• Present data findings and insights to cross-functional teams, highlighting critical areas of opportunity and progress toward company goals. Tell data-driven stories to convince and influence partners using clear insights and recommendations
• Participate in customer journey mapping sessions to ensure data-backed recommendations are integrated into planning and execution phases