Applied Data Scientist focused on operational analytics at Rowan Digital Infrastructure. Developing models and metrics to enhance reliability and decision making for data center solutions.
About the role
- 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
Benefits
- Medical, dental, and vision insurance
- 401(k) plan
- Short-term and long-term disability
- Basic life insurance
- Well-being benefits
- 20 paid days of vacation
- 12 paid days of company holidays
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