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Growth Data Scientist/ Analyst

Crypto.com
London
6 days ago
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We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.
Responsibilities

Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness
Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems
Analyze data to derive actionable insights that drive business decisions and performance improvements
Automate repetitive tasks and data processes to enhance team efficiency
Collaborate with cross-functional teams to support data-driven decisions and project implementations
Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis
Requirements

Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields
Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus
Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous
Proficiency in SQL and familiarity with data visualization tools like Tableau
Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing, and presenting findings
Knowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platforms
Excellent verbal and written communication skills
Seniority level

Not Applicable
Employment type

Full-time
Job function

Engineering and Information Technology

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