Top Remote Data Science Jobs in Miami, FL

Seeking a Manager, Data Science & Analytics at Amazon to lead reporting and analytical projects, collaborate with teams, utilize advanced data analytics, manage data processes, conduct market research, and drive operational efficiency through data insights.

Join Upstart as a Senior Research Scientist in the Servicing Machine Learning team. Help shape borrower outcomes and create frictionless experiences for borrowers. Work on exploring new models and datasets to improve accuracy.

The Associate, Data Scientist at OppFi will be responsible for combining data from multiple sources, conducting data quality checks, exploratory analysis, and building machine learning models for credit risk and marketing. This role requires understanding algorithms, bias variance tradeoff, and model interpretability.

Empower is seeking a Senior Data Scientist to join their team and work on machine learning models for evaluating creditworthiness and developing financial products. This role offers a competitive salary, generous equity package, full healthcare benefits, and the flexibility to work from anywhere.

Lead Data Scientist at Movable Ink working on testing and optimizing the DaVinci Personalization product, running a/b tests, conducting deep dives into data, and driving improvements to the working model and process.

The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.

As a Senior Data Scientist at Instacart, you will own analytical frameworks, design experiments, develop statistical models, build simulations, democratize data, and influence decision-making. You will be part of a growing data science team tackling impactful problems in the grocery industry.