Top Data Science Jobs in Dayton, OH

The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

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.

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 Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

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

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

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

Analyze complex datasets, develop and implement predictive models, collaborate with stakeholders to find data-driven growth opportunities, create visualizations, ensure data quality, and stay current with industry trends.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

Analyze complex datasets, build predictive models, validate data quality, create visualizations, and collaborate with business stakeholders to drive data-driven growth and inform decisions.

Analyze complex data sets, develop predictive models, collaborate with stakeholders, design visualizations, ensure data quality, and stay updated with trends.

The Data Scientist will analyze complex datasets, develop predictive models, collaborate with stakeholders, and ensure data quality to inform business decisions.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

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 II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As a Data Scientist, you will analyze data for actionable insights, collaborate across teams, build models, and communicate findings through visualizations.