Top Data Science Jobs in Leon

As the Senior Director, Data & Analytics, you will lead the Global Data and Analytics practice, drive strategy and growth, deliver data-driven solutions, mentor a team of professionals, manage client relationships, and improve operational efficiency.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As a Sr. Manager of Data Science in Marketing, you will develop strategies for integrating data science into marketing, optimize budget allocations through media mix modeling, and enhance targeting strategies using advanced analytics. You will lead a team, drive innovation, and collaboratively improve business outcomes through data-driven insights.

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.

Seasoned scientist with deep understanding of GenAI, specializing in AI/ML, Computer Science, or Finance. Responsible for delivering GenAI applications, managing exploration vs exploitation tradeoff, and expertise in data-centric AI techniques. Collaborative team player with strong problem-solving skills.

As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.

The Associate in Compliance Technology Data Science at Coinbase will be responsible for producing data extracts and metrics via SQL, translating reporting requests, building compliance reports, and managing workload to deliver accurate reports and dashboards.

The Data Science Graduate role involves analyzing and validating data sets, developing models, and applying data science methodologies to derive actionable insights. The graduate will assist in the enhancement of metadata and contribute to visualizing model insights while supporting analytics solutions.

The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

The VP of Data and Insights will lead the transformation of the Philadelphia Inquirer into a data-informed organization by overseeing data teams, developing data strategies, and enhancing operational capabilities through data insights.

The Sr Market Development Analyst will perform advanced analytics to support data-driven policy decisions, analyze energy market data, identify trends, and develop performance metrics. Responsibilities include using data science techniques for predictive analytics, monitoring market trends, and collaborating with various stakeholders to improve market design and solutions.

The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.

The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.