Top Remote Data Science Jobs

The Data Scientist will analyze healthcare claims data, develop SQL and PySpark pipelines, ensure data quality, and collaborate with cross-functional teams to provide actionable insights.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

As a Senior Data Scientist, you will leverage statistics, machine learning, and data visualizations to derive insights, drive business growth, and mentor others within the organization.

Develop measurement frameworks for content quality and value, using statistical methods to inform strategic content decisions and enhance organizational insights.

The Data Scientist will lead customer investigations, improve fraud detection, influence product direction, and mentor other analysts.

As a Senior Data Scientist, you'll build machine learning models for infrastructure cost prediction, enhance experimentation methods, and collaborate across teams to improve data quality and impact evaluation.

The Senior Data Scientist will design experiments, analyze data, and drive growth strategy for the Clubhouse app, proactively identifying key questions and opportunities for improvement.

The Data Scientist will work with the Lifecycle Marketing team to maximize lead conversion and optimize client engagement through data-driven campaigns and analysis. Responsibilities include project execution, campaign design, and mentoring junior members.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

Lead data science strategy across underwriting, claims, reinsurance, and portfolio management. Own multi-quarter cross-functional initiatives, design experiments and causal analyses, build scalable models and metrics, create executive dashboards, influence leadership decisions, and mentor scientists to raise technical rigor and repeatability.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Build and operationalize marketing science solutions (MTA, MMM, LTV) to inform paid media strategy. Design experiments for incrementality, build pipelines and dashboards, write production-quality code, and translate analyses into budget, ROAS, and growth recommendations for stakeholders.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.