Pricing Data Scientist [25/04/2025]

Cellebrite’s (NASDAQ: CLBT) mission is to enable itscustomers to protect and save lives, accelerate justice, andpreserve privacy in communities around the world. We are a globalleader in Digital Intelligence solutions for the public and privatesectors, empowering organizations in mastering the complexities oflegally sanctioned digital investigations by streamliningintelligence processes. Trusted by thousands of leading agenciesand companies worldwide, Cellebrite’s Digital Intelligence platformand solutions transform how customers collect, review, analyze andmanage data in legally sanctioned investigations. PositionOverview: As a Pricing Data Scientist at Cellebrite, you will playa critical role in shaping pricing strategies using high level datadriven analysis. You’ll dig deep in the data to analyze buyingpatterns, sales performance, develop growth program opportunitiesand gain other valuable insights into the business to driveinformed decision making. Your creativity and ability to drawactionable insights from the data will help propel Cellebrite ournext level of growth. Responsibilities: Data Analysis &Insights - Collect and analyze data – internal transaction &buying patterns, customers, competitors - Create initial pricingbenchmarks to help establish new models or help to optimizeexisting models. - Conduct analysis to support pricing initiativesand proposals - Use financial modeling to simulate the impact andeffectiveness of pricing changes and provide data-drivenrecommendations to senior leadership. - Identify areas of revenueleakage and build programs to facilitate “revenue capture” workingcross-functionally with Sales and Finance - Build list to streetwaterfalls Performance Monitoring - Track and report key pricingmetrics, including average revenue per client, client acquisitioncosts, client lifetime value, and profitability. - Establish KPIsto measure the effectiveness of pricing and packaging strategies,and make data-driven recommendations for adjustments as needed -Identify areas in the Sales force that might benefit from enhancedtraining or coaching based on transaction analysis - Design andimplement revenue optimization programs using data-drivenapproaches. This includes: - Identifying key revenue drivers, -Developing predictive models to forecast revenue impacts - Creatingstrategies to enhance revenue growth. - Collaborate with financeand sales teams to ensure alignment and effective execution ofthese programs - Create data-driven governance structures tostreamline deal processes while optimizing revenue. Qualifications:- 5+ years of business analytical experience, with competency inpricing, financial and/or economic models - Bachelor’s degree inbusiness, finance, economics, or a related field; MBA, advanceddegree or equivalent work experience. - A curious and creativemind. - Proficiency in pricing tools, ERP systems, and financialmodeling software highly desired. - Excellent analytical skills,strong attention to detail, the ability to interpret complex datasets, and the ability to provide actionable insights. - Experiencein the Digital Forensics, security, or public sector space a plus -Strong financial acumen with understanding of SaaS revenue models,subscription pricing, software licensing, and enterprise softwaresales cycles. - Strong stakeholder collaboration, influencing, andcommunication skills, with experience working across multipledepartments. Cellebrite is an equal opportunity/affirmative actionemployer. All qualified applicants will receive consideration foremployment without regard to sex, gender identity, sexualorientation, race, color, religion, national origin, disability,protected Veteran status, age, or any other characteristicprotected by law. #J-18808-Ljbffr