Top Senior Level Data Science Jobs in Miami, FL

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.

Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.

The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.

The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.