- 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.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Proven experience working as a Data Scientist or similar role in a fast-paced environment.
- Strong proficiency in programming languages such as Python, R, or SQL, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Solid understanding of statistical concepts and techniques, and hands-on experience with statistical modeling, hypothesis testing, and experimental design.
- Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) for classification, regression, clustering, and anomaly detection.
- Familiarity with big data technologies and distributed computing platforms (e.g., Hadoop, Spark) is a plus.
- Excellent problem-solving skills, attention to detail, and the ability to work independently as well as part of a team.
- Strong communication and interpersonal skills, with the ability to effectively present complex technical concepts to non-technical stakeholders.
- Willing to be on-site 5 days a week in our Downtown Miami office.
- The opportunity to work on challenging and impactful projects at the intersection of design and data.
- A collaborative and supportive work environment, recognized as a Great Place to Work.
- Cell phone allowance of $100
- Benefit package
- Dental, and visions benefits
- Life insurance
- Unlimited PTO
- Bring your pet to work
- Your pet insurance is covered (Up to $100)
- 401k with Company match
- Annual performance-based bonus
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Data Scientist - Miami, United States - Spot Pet Insurance
3 weeks ago
Description
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.
Responsibilities:
Requirements:
What we offer:
