Top Scala Jobs in Miami, FL

The Senior Data Scientist leads projects by implementing data science techniques, mentoring junior team members, and improving client relationships while driving innovation in manufacturing intelligence using Microsoft technologies.

Lead architecture and development of large-scale backend systems for video visits, mentoring engineers and collaborating across teams to enhance digital care technology.

The Senior Data Engineer will design, build, and manage data pipelines, collaborate with stakeholders, troubleshoot errors, and optimize analytics capabilities.

As a Backend Software Engineer, you will develop core features for a customer platform, work with diverse technologies, and implement industry best practices.

The Director of Data Engineering leads teams in developing data pipelines, architecture, and infrastructure improvements, and collaborates with cross-functional areas within Voya Financial.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

Lead the design and architecture of AI agent systems for monetization, develop machine learning models, and mentor junior engineers.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.

The role involves writing documentation for the Mojo programming language, including code examples and tutorials, collaborating with engineers, and updating existing materials.

Manage the Ads API team, set technical vision, drive architectural decisions, ensure best practices, and collaborate with stakeholders to empower advertisers and partners.

As a Senior Cloud Engineer, you will design, implement, and troubleshoot scalable applications in a Kubernetes ecosystem while collaborating across teams and writing maintainable code.

As a Data Platform Engineer, you will enhance Stitch Fix's data stack to support AI products and analytics, ensuring scalability and reliability.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Software Engineer, you will enhance Machinify's AI/ML systems for healthcare claims processing by building robust data science solutions and collaborating closely with data scientists.

Design and build scalable backend systems, contribute to backend development, prioritize deliverables, and design frameworks for ML applications.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

The Principal Backend Engineer will lead the API architecture for Yahoo's data ecosystem, designing scalable APIs and integrating systems while collaborating across teams to optimize user experiences.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Solutions Architect leads the design and implementation of data solutions, mentors engineers, develops technical production solutions, and communicates with clients.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

Lead a data engineering team to build scalable, cloud-native data pipelines, ensuring quality and security in collaboration with various teams.