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Data Scientist
Spot Pet InsuranceMiami, FL, US- Full-time
Spot Pet Insurance is the fastest growing pet insurance company in North America. Our commitment to an exceptional end-to-end customer experience and our data-driven approach have quickly established us as a leading pet insurance provider. We're dedicated to providing pet parents with peace of mind by offering accessible and comprehensive coverage so their furry companions can lead happier, healthier lives. To demonstrate this, we recently joined forces with MrBeast to find homes for 100 homeless pets and committed to giving each of them pet insurance for life! Along the way, we’ve created a company culture that allows our employees to thrive, with perks like daily free meals, a pet-friendly office, and ridiculously fun company events every quarter. Our dedication to fostering a positive and rewarding work environment for our team has even earned us a Great Place to Work certification.
We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a passion for extracting actionable insights from large and complex datasets, and a proven track record of applying advanced analytical techniques to solve real-world problems.
Location : Miami, FL. On-site 5 days / week
Open to relocation for the right candidate
Responsibilities
- Collaborate with cross-functional teams to identify and define business problems that can be addressed through data analysis and modeling.
- Apply statistical analysis, machine learning, and data mining techniques to extract meaningful patterns, trends, and insights from data.
- Develop predictive models, algorithms, and data-driven solutions to optimize business processes, enhance decision-making, and drive business outcomes.
- Design and implement experiments to test hypotheses, evaluate model performance, and measure the impact of data-driven initiatives.
- Run causal impact models for experiments and analyses to understand and predict the effects of different actions on key performance indicators.
- Execute a marketing mix modeling process to optimize allocation across various marketing channels and measure ROI effectively.
- Create customer models focused on acquisition and retention, leveraging data to build strategies that enhance customer engagement and lifetime value.
- Communicate findings, insights, and recommendations to stakeholders through compelling visualizations, reports, and presentations.
- Stay abreast of the latest developments and advancements in data science, machine learning, and related fields, and contribute to the continuous improvement of our analytical capabilities.
Requirements :
What we offer :