Top Remote Data Science Jobs in New Orleans, LA

Lead the design and implementation of AI-driven search algorithms and models. Collaborate with teams to optimize search performance and personalize user experiences. Mentor junior staff and stay updated on latest AI advancements.

The Senior Data Scientist will develop AI/ML algorithms for space data insights, lead projects, collaborate across teams, and present findings at conferences.

As Lead Data Scientist, you will develop impactful machine learning models, mentor the data team, and ensure data consistency across platforms in a fast-paced startup environment.

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 Senior Data Scientist leads data science and machine learning projects on Microsoft Azure, mentors team members, drives innovation, and enhances client relationships while implementing advanced analytics solutions and MLOps best practices.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The role involves leading analytics to optimize customer experience and drive business decisions using advanced analytics and mentoring team members.

The Senior Data Scientist will work on a CTV ad-buying platform, writing Python production code, optimizing ad campaigns, and developing analytics tools.

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 Senior Data Scientist will develop and apply data science models to optimize Reddit's advertising platform, analyze large datasets, and mentor junior scientists.

The Senior Data Scientist will build data infrastructure, implement BI tools, and provide data-driven insights to enhance Product, Sales, and Customer Success operations.

As a Lead Data Scientist in Marketing Research, you'll design and execute performance marketing strategies, using predictive models and statistical techniques to improve campaign efficiency and drive growth.

As a Principal Data Scientist, you will lead statistical and machine learning initiatives, influence modeling strategies, and drive impactful research for the insurance industry while collaborating across functions.

The Senior Data Scientist will design measurement frameworks, optimize marketing strategies, improve data-driven brand strategies, and lead data science initiatives for marketing impact.

As a Lead Data Scientist at Root, you will develop causal models, build simulation tools, monitor performance, and collaborate across teams to drive business impact.

The Principal Data Scientist will enhance payment accuracy in claims and payment integrity, build robust data pipelines, and collaborate across teams to drive data-driven solutions.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

The Principal Data Scientist will analyze complex datasets, collaborate with stakeholders, mentor junior team members, and communicate insights effectively.

Lead the development and deployment of machine learning and generative AI models to enhance customer onboarding processes, utilizing data science techniques and cloud infrastructure.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.