Top Data Science Jobs

The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

As a Flavor Scientist, you will design and test innovative flavor formulations for electronic nicotine delivery systems. You will evaluate flavors and raw ingredients, collaborate with cross-functional teams, and maintain documentation and lab equipment. Your role requires hands-on laboratory work and a strong understanding of flavor ingredients to meet product development goals.

As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.

Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.

In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.

The Manager of Applied AI and Data Sciences oversees the development and management of AI tools and data sciences projects, collaborates with technology and business teams, evaluates and selects AI solutions, and provides ongoing support while leading strategic initiatives and mentoring staff.