Top Data Science Jobs in Leon

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.

The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.

As a Data Scientist - Presales, you will engage with customers to understand their business problems, define strategies for data analysis, and deliver impactful proofs of concept and reports demonstrating the value of Pricefx software. You will collaborate closely with sales teams to assess data quality and develop machine learning models that support customer-specific objectives.

The Senior Technical Curriculum Developer will create engaging technical learning content for customers, including hands-on labs and certification programs. They will collaborate with engineering and product teams, evaluate training needs, improve existing courses, mentor junior members, and utilize SQL and scripting for reports and data handling.

As a Manager in the Data Science team at Atlassian, you will leverage data to drive insights about products and customers. Your duties include collaborating on product and business problems, applying quantitative analysis, defining opportunities for product improvements, and managing a team of Data Scientists. You will influence strategy through data-driven insights and help structure your team's growth.

As a Senior Data Scientist at Atlassian, you will collaborate with various cross-functional teams to apply quantitative analysis and develop strategies that influence product and business decisions. You will leverage data to identify opportunities, measure product success, and communicate insights effectively.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

The Principal Decision Scientist will lead and mentor teams by providing high-impact analytics insights and solutions for clients. Responsibility includes optimizing client success with Ibotta platforms, communicating analytical results to enhance client strategies, driving internal projects, and mentoring junior colleagues.

The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

As a Data Science Analyst Intern, you will use your technical skills to create innovative solutions and work on projects involving machine learning, data engineering, and visualization. The role emphasizes collaboration and delivering impactful solutions for clients, with mentorship opportunities throughout the 10-week program.

This role manages a team focused on customer and marketing data analytics, translating business needs into actionable insights. Responsibilities include developing analytic models, prioritizing work, ensuring timely delivery of projects, driving process improvements, and fostering relationships across functions.

The Data Science Manager at DMG leads the development of analytical frameworks and decision support tools to enhance understanding of content performance. Responsibilities include building statistical models, analyzing data trends, partnering with technology teams, and mentoring junior members. The focus is on leveraging advanced analytics to inform business strategies and improve overall performance.

As a Data Science Engineer I, you will build machine learning models, fine-tune deep learning architectures, create feature engineering pipelines, and collaborate to validate model handoffs to customer experiences, all while writing efficient code.

The Director of Data Science will lead and mentor data science teams, develop multi-disciplinary data-driven offerings, and manage client relationships to translate business objectives into analytics solutions. Responsibilities include practice development, client delivery, and business development, with a strong emphasis on machine learning application.

In this role, you will lead a team of data scientists to develop and deliver analytics solutions, mentor junior staff, ensure client engagements deliver value, and drive business development for the data science practice. You will also collaborate across disciplines to enhance data capabilities and engage with clients to develop innovative solutions.

As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures, ensuring data reliability and quality for pricing models. Collaborate with data science, engineering, and product teams to operationalize data science assets and deliver real-time market offerings.