Top Remote Data Science Jobs in Cincinnati, OH

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 Sr. Data Scientist analyzes complex datasets, builds predictive models, creates data pipelines, and collaborates across teams to support strategic decision-making.

As a Senior Data Scientist, you will build data science solutions for A.I. products, lead technical efforts, and support cybersecurity missions.

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.

This role involves leading data science initiatives, conducting research, and collaborating with teams to enhance data-driven decision-making at Otto Aviation.

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

The Senior Data Scientist will build predictive models, enhance machine learning algorithms, and drive data product strategy in a remote setting at Urgently.

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.

The role involves transforming raw data into consumer features, applying statistical techniques, monitoring performance, building dashboards, and collaborating across teams to enhance decision-making in credit lifecycle processes.

As a Senior Data Scientist, you will develop insights to guide product strategy, enhance experimentation practices, and mentor junior data scientists.

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.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.