Senior Data Scientist designing and deploying impactful data science solutions for global customer engagement. Collaborating with marketing teams to drive measurable business outcomes in fintech.
Responsibilities
Develop predictive models to identify high-value users for Marketing and Commercial teams.
Apply machine learning and/or statistical models to measure causal impact of marketing initiatives.
Develop personalization solutions to drive the client onboarding efficiencies, optimize the referral incentive impacts and also the product cross-selling.
Develop the churn models to drive the growth retention strategy.
Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions.
Requirements
5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in machine learning modeling to drive data driven growth strategy
Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines)
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), experience in schema design and dimensional data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous
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