Top Remote Data Science Jobs

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.

The Practice Manager leads a Data Science and AI/ML team, driving customer engagements, delivering solutions, mentoring staff, and improving operational effectiveness.

The Manager will oversee client relationships, manage data science projects, and lead strategic consulting missions to enhance client outcomes. They will also focus on team development and company growth initiatives.

Facilitators will guide a small class through online Data Science coursework, providing discussion sessions and personalized feedback on projects.

Join the Content Platform Research team to conduct innovative research in machine learning and natural language processing, analyze data, collaborate with teams, and publish findings.

Lead the creation and optimization of machine learning algorithms for mobile advertising, focusing on data-driven strategies to enhance user acquisition and ROI.

As a Data Scientist at Jellyfish, you will collaborate with cross-functional teams to develop innovative products using diverse data science techniques and improve core algorithms.

As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.

The Data Scientist II will lead data-driven projects, applying machine learning to enhance business processes and customer experiences.

The Sr. Data Scientist will analyze complex grocery marketplace problems, develop statistical models, and influence product development through data insights.

As a Principal Data Scientist at Atlassian, you will apply technical expertise in quantitative analysis and experimentation to develop strategies, improve products, and drive impactful business decisions through data insights and visualization. Collaboration with cross-functional teams and executive leadership is key to success.

The Principal Data Scientist will identify customer friction insights using ML and NLP, build frameworks and mentor data scientists to drive product improvements.

The Senior Data Scientist leads audience activation modeling efforts, translating customer data into marketing strategies, optimizing audience engagement, and collaborating across teams to drive sales through advanced analytics.

The Staff Data Scientist leads audience activation modeling, develops marketing models, collaborates with stakeholders, and mentors junior data scientists focusing on data-driven solutions for business challenges.

Lead the scaling and operationalization of Large Language Models within the AI ecosystem, focusing on production integration and performance optimization. Drive continuous improvement in AI models while mentoring junior data scientists.

The Senior Data Science Engineer will develop, validate, and deploy machine learning models, optimize data delivery, and enhance existing data processes.

Lead client engagements in data science consulting, focusing on machine learning algorithms, data modeling, and stakeholder communication, while mentoring teams and documenting results.