Top Remote Data & Analytics Jobs in Tucson, AZ

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

As a Research Analyst, you'll drive fundamental research for subscription-based data products, analyze large datasets, and collaborate with teams to offer insights and develop new products.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Transaction Monitoring and Screening Analyst ensures compliance by reviewing transaction monitoring alerts and screening matches, investigating suspicious activities, and documenting findings accurately.

The role involves leading NetSuite integration solutions, managing client accounts, developing solutions, and mentoring junior team members while promoting innovation and collaboration.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Data Operations Lead will drive data analytics, build reporting pipelines, unify metrics across teams, and foster data-driven decision-making using AI and analytics.

The Senior Analyst will analyze large-scale data to detect fraud, develop monitoring frameworks, and collaborate with teams to enhance fraud strategies.