Top Data Science Jobs
The Senior Data Scientist at Cameo will collaborate with product, marketing, and business teams to drive data-informed decisions. Key responsibilities include measuring marketing ROI, designing A/B tests, creating dashboards, and analyzing multi-source data to improve product algorithms. The role requires strong analytical skills and the ability to communicate insights effectively.
The Sr. Data Science Solution Architect leads the vision and solution delivery for healthcare data projects, providing technical leadership in machine learning and AI. Responsibilities include architecture design, model development, and collaboration with cross-functional teams to ensure successful implementation of AI-driven solutions in healthcare workflows.
As a Principal Data Scientist, you will work on the Modeling team to enhance At-Bay’s risk assessment framework. Responsibilities include developing risk models, conducting data analysis, and collaborating with cross-functional teams to provide insights that support business decisions.
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The Senior Scientist will develop, optimize, and validate analytical methods for cell therapy, particularly focusing on potency assays, molecular assays, and flow cytometry. Key responsibilities include planning and executing experiments, leading assay development, maintaining databases, and authoring technical documentation. Collaboration with colleagues and adherence to lab protocols are essential.
The Staff Data Scientist will lead data-driven projects, analyze and interpret data, develop KPIs, create dashboards, and collaborate with cross-functional teams to enhance product analytics efforts. Responsibilities also include modeling, presenting insights to leadership, and mentoring junior scientists.
As a Staff Data Scientist, you will develop advanced machine learning models to enhance consumer experiences. You will be responsible for the end-to-end project lifecycle, leverage large datasets for insights, collaborate with cross-functional teams, and evaluate model performance to drive improvements. Stay updated on trends in machine learning and fintech to implement best practices.
The Private Equity Data Scientist will use data to enhance investment decision-making processes, develop predictive models, and drive digital transformation initiatives. Responsibilities include collaborating with management teams, designing dashboards, monitoring company performance, and implementing data-driven strategies for operational improvement and growth.
As an AI Underwriting Data Manager, you will oversee the budget for underwriting data, negotiate vendor contracts, manage data integrations, and collaborate with internal teams to drive the product roadmap and improve efficiencies in data services.
As a Scientist I/II at Belharra Therapeutics, you will collaborate with chemists and biologists to develop tools for drug discovery, including high-throughput sample preparation and small molecule screening. Responsibilities include profiling proteomic engagement through mass spectrometry, characterizing hits, supporting probe validation, and documenting findings. Strong problem-solving and communication skills are essential.
The Bioengineer or Scientist will research and develop embryo maturation and gestation support systems, using scientific methods to conduct experiments, analyze data, and design biomedical devices in a collaborative environment. This role supports conservation efforts through innovative advancements in technology.
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