Pricing Data Scientist

March 14

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Cellebrite

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Cellebrite is a leading provider of digital forensics and intelligence solutions. The company's end-to-end platform aids investigative teams in both the public and private sectors to solve cases more efficiently and securely. Cellebrite offers a range of products and services, including solutions for digital data collection, analysis, and evidence management from mobile and computer devices. These solutions are widely used in criminal investigations, defense, law enforcement, and intelligence agencies, providing tools to extract, analyze, and manage digital evidence. The company's mission is to help bring justice by protecting the innocent and closing cases faster while ensuring data integrity and security.

Mobile Forensics • Mobile data extraction, cloud extraction, decoding, analysis and reporting • digital forensics • digital intelligence • cloud forensics

1001 - 5000 employees

Founded 1999

🔐 Security

🔒 Cybersecurity

🏛️ Government

💰 Post-IPO Equity on 2021-08

📋 Description

•Company Overview: Cellebrite’s mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. •Position Overview: As a Pricing Data Scientist at Cellebrite, you will play a critical role in shaping pricing strategies using high level data driven analysis. •You’ll dig deep in the data to analyze buying patterns, sales performance, develop growth program opportunities and gain other valuable insights into the business to drive informed decision making. •Your creativity and ability to draw actionable insights from the data will help propel Cellebrite to our next level of growth. •Responsibilities: Collect and analyze data – internal transaction & buying patterns, customers, competitors. •Create initial pricing benchmarks to help establish new models or help optimize existing models. •Conduct analysis to support pricing initiatives and proposals. •Use financial modeling to simulate the impact and effectiveness of pricing changes and provide data-driven recommendations to senior leadership. •Identify areas of revenue leakage and build programs to facilitate “revenue capture” working cross-functionally with Sales and Finance. •Build list to street waterfalls.

🎯 Requirements

•5+ years of business analytical experience, with competency in pricing, financial and/or economic models. •Bachelor’s degree in business, finance, economics, or a related field; MBA, advanced degree or equivalent work experience. •A curious and creative mind. •Proficiency in pricing tools, ERP systems, and financial modeling software highly desired. •Excellent analytical skills, strong attention to detail, the ability to interpret complex data sets, and the ability to provide actionable insights. •Experience in 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 software sales cycles. •Strong stakeholder collaboration, influencing, and communication skills, with experience working across multiple departments.