Top Remote Data Science Jobs in Austin, TX

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

Lead the development of a data science practice at TRIMEDX, focusing on AI and machine learning to optimize clinical asset utilization and reduce operational costs. Oversee AI roadmap, advanced data modeling, and support commercialization of market solutions through data-driven insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

The Senior Data Scientist will analyze business problems, guide data visualization, and ensure statistical rigor while collaborating with cross-functional teams at Coinbase.

As a Data Scientist, you will analyze data, create models, and build predictive tools to drive business decisions for Flock Safety.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

As a Senior Data Scientist at Coinbase, you'll analyze complex problems, influence product strategy using insights, and guide data practices in a high-caliber team environment.

The Senior Data Scientist will conduct analyses to guide decision making, own data metrics, and influence stakeholders using statistical rigor and expertise in SQL and Python.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

The role involves leveraging data analytics to drive decision-making across product and growth teams, analyzing user engagement, designing experiments, and building scalable data frameworks.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Data Scientist will develop machine learning models for credit risk, collaborate with engineers for model deployment, and optimize decisions using data analysis.

The Senior Data Scientist will lead the development of analytics products for revenue cycle operations, mentor junior team members, and ensure scalable data solutions. Responsibilities include building metrics frameworks, executing complex analyses using SQL and Python, and collaborating with engineering teams to enhance client insights and relationships.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.