Top Remote Data Science Jobs in Columbus, OH

As a Data Scientist at Reddit, you will analyze data, develop machine learning models, and collaborate with teams to enhance the advertising platform.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

Develop automated reports and dashboards for credit risk analytics, mentor junior members, and translate analytics to client strategies.

The Senior Data Scientist will develop custom analytics and ML models for AFS, focusing on non-prime lending, and work closely with clients to implement effective credit strategies.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

The Senior Data Scientist will build data pipelines, predictive models, dashboards, and reporting tools, enhancing financial insights and strategies through advanced analytics and collaboration across teams.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

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

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

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 designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Senior Data Scientist, you will improve ML systems, design and deploy models, validate strategies, and communicate insights to stakeholders.

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.

The Senior Data Scientist will apply machine learning and remote sensing to quantify soil carbon benefits, lead model development, and collaborate with customers and teams.

The Sr. Data Scientist I designs, develops, and improves data science solutions, builds machine learning models, and mentors junior team members.

Lead Data Scientist responsible for enhancing user experience and product efficiency through data analysis, ML modeling, and collaboration across teams. Mentors others and drives innovation in real-world applications.