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Principal Technical Data Product Owner
8+ years in product management, data science, or ML-driven product development Strong technical background in machine learning and data engineering Experience with financial identity products or alternative credit scoring Proficiency in SQL and Python
Software Engineer
Participate in Agile meetings and serve as a subject matter expert for product and engineering teams Identify and automate repetitive manual tasks to enhance efficiency Required Qualifications 5+ years of software development experience with expertise in Python
Customer Experience Operations Analyst
Collaborate with cross-functional teams to align data insights with customer journey improvements Required Qualifications 5+ years of experience in data analysis, preferably in customer experience or SaaS environments Strong proficiency in SQL, Python
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AI Technical Product Manager
and execute experiments to explore AI/ML applications in user research Required Qualifications Advanced degree in computer science, data science, human-computer interaction, or related fields Proficiency in programming languages for AI, such as Python
Senior Analytics Product Manager
estate datasets to deliver impactful insights and create reusable analytics use cases Required Qualifications Bachelor's Degree or equivalent experience 5 years of relevant experience managing or building data analytics products Proficiency in SQL, Python
AVP Analytics - Customer Insights
Mathematics, Economics, Engineering, or a related quantitative field with 4+ years of analytics/data science experience, or 6+ years without a degree Minimum 2 years of experience leveraging data/analytics to drive strategy Hands-on experience in SQL/SAS/Python
Portfolio Analyst
BI dashboards to display product performance and market information Required Qualifications: Bachelor's degree or equivalent experience in business administration, finance, or economics Advanced proficiency in Excel and PowerPoint; Power BI, SQL, Python
AI Product Manager
execute experiments to explore AI/ML applications in user research Required Qualifications Advanced degree in computer science, data science, human-computer interaction, or related fields Proficiency in programming languages used in AI, such as Python
Principal Data/ML Product Owner
management, data science, or ML-driven product development Strong technical background in machine learning, data engineering, and AI-powered consumer products Experience with financial identity products or alternative credit scoring Proficiency in SQL and Python
