Top Remote Data Science Jobs in Albuquerque, NM

The role involves developing ML models for anomaly detection, time series forecasting, and predictive analytics for sewer infrastructure. Collaboration with engineering and data teams is essential to deliver insights effectively.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

The role involves building Marketing Mix Models, analyzing geo-based experiments, creating measurement infrastructure, and communicating insights to stakeholders.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

As a Senior Data Scientist, you will analyze blockchain data, uncover insights, mentor peers, and collaborate to improve attribution models while addressing global security threats.

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.

Responsible for designing and operationalizing advanced data science and AI solutions for insurance, including model deployment and data pipeline development.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

As a Principal Data Scientist, you'll develop ML systems, improve models, collaborate cross-functionally, and drive innovation in recommendations.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

Lead experimental design and strategic research to drive user growth for Yahoo Mail. Collaborate with product, design, and engineering to run A/B and multivariate tests, build predictive and ML models, analyze large-scale data, and present actionable insights to technical and non-technical stakeholders.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.

The Senior Data Scientist will analyze large datasets, develop predictive models, create data processing workflows, and produce interactive dashboards to derive actionable insights for clients, collaborating with stakeholders and maintaining thorough documentation.

The Senior Data Scientist will focus on customer analytics, developing models for segmentation, retention, and experimentation to drive engagement and revenue decisions.

The Lead Data Scientist will drive data strategy, build predictive models, analyze healthcare datasets, and collaborate with teams to improve clinical outcomes.

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.

Partner with Membership to build data pipelines, ensure membership data quality, and develop predictive models (churn, retention, LTV). Design and analyze experiments, create dashboards, and collaborate with Marketing, Finance, and Product to optimize pricing, offers, and lifecycle programs.

Lead development and deployment of machine learning models for clinical and operational use cases. Perform data analysis, collaborate with program owners, propose solutions, follow software development and MLOps best practices, maintain deployed models, and communicate results to stakeholders.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

The Lead Data Scientist will develop advanced analytical solutions for pricing and customer insights in pet insurance, mentor teams, and collaborate with stakeholders.