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Top Hybrid Data Science Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager, Data Science at Capital One, you will lead a team in the review and innovation of credit models, utilizing statistical and machine learning techniques to derive insights from large data sets, and collaborate with various stakeholders to enhance model effectiveness and decision-making.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager in Data Science, you'll lead a team focused on credit model reviews, developing statistical and machine learning models, and leveraging advanced computing technologies to analyze large datasets. The role emphasizes collaboration, innovation, and translating technical insights into business objectives.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to combat fraud. Collaborating within a cross-functional team, you will use your technical skills to uncover insights from vast datasets, ensuring effective models are built and maintained throughout their lifecycle.
Top Skills:
Python
Digital Media • Gaming • Information Technology • Software • Sports • eSports • Big Data Analytics
As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.
Top Skills:
PythonR
Digital Media • Gaming • Information Technology • Software • Sports • eSports • Big Data Analytics
As a Lead Data Science Engineer, you will lead a team to develop and implement machine learning models, enhance search capabilities, and drive impactful projects that create tailored user experiences in the Sportsbook industry.
Top Skills:
Python
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead the development of ML-based enterprise products, architect AI-enabled data solutions, and manage a team of scientists and engineers to solve complex problems. Engage with senior clients and shape firm strategies in AI, while fostering talent through recruitment and training efforts.
Top Skills:
Python
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI data products, solve complex problems with a hybrid team of scientists and engineers, and engage with clients to deliver transformative solutions. You will also contribute to recruiting and training talent, and shape firm strategy around AI.
Top Skills:
Python
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead the development of innovative ML-based enterprise products and architect AI-enabled data products. Manage a hybrid team while overseeing complex cross-functional problems and engaging with senior client leaders. Focus on applying advanced algorithms for business solutions and fostering talent within the organization.
Top Skills:
Python
Featured Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Data Science Co-op, you will support data science efforts in public health and safety by applying current and emerging machine learning techniques. Responsibilities include collaborating with data scientists and engineering teams, building custom algorithms, and participating in product design and ideation.
Top Skills:
Python
Fintech • Mobile • Payments • Software • Financial Services
The Senior People Scientist will partner with the People team to enhance employee experience through innovative analytics solutions, manage data assets, implement employee listening strategies, and collaborate with stakeholders to drive diversity and data-driven insights.
Top Skills:
PythonRSQL
Financial Services
As an Applied AI/ML Lead, you will analyze business problems and develop advanced machine learning solutions. Responsibilities include leading AI initiatives, collaborating with various teams, developing ML pipelines, and effectively communicating technical concepts to stakeholders.
Top Skills:
C/C++JavaPython
5 Hours Ago
Financial Services
As a Data Domain Architect Lead, you will lead a team collaborating with Data Science, Analytics, and Engineering to develop machine learning solutions, create taxonomies, and drive insights from data. You will manage processes for data collection, curation, and validation to improve AI/ML applications.
Top Skills:
Python
Financial Services
As a Vice President, Data Scientist at PricingDirect, you will lead the integration of AI and ML into financial valuations, oversee model governance, and collaborate with diverse teams to innovate data science practices, ensuring accurate and timely financial insights.
Top Skills:
JavaPythonR
Artificial Intelligence • Machine Learning • Biotech • Design
The Scientist I in Biologics Downstream Process Development will perform hands-on bioprocess engineering, develop and optimize downstream purification processes, collaborate with various teams for technology transfer, and contribute to internal and external project efforts.
Top Skills:
Biological EngineeringCell BiologyChemical EngineeringMolecular Biology
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Senior Staff Scientist in Technical Operations at GRAIL is responsible for managing the product labeling program, ensuring compliance with regulations, leading process monitoring, and addressing clinical lab production issues. The role involves collaboration across departments and establishing effective labeling controls.
Top Skills:
Next-Generation Sequencing (Ngs)
Fintech • Information Technology • Payments • Financial Services • Cryptocurrency
The FedNow Data Specialist in Fraud Prevention will analyze transactional and behavioral data to prevent fraud, develop and implement fraud detection rules and models, and communicate findings to stakeholders. The role requires collaboration with data scientists and other specialists to enhance fraud prevention strategies using various analytical and modeling tools.
Top Skills:
PythonR
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Cybersecurity • Defense
The Photonics Technologies Scientist at Aerospace will focus on research and development of emerging photonic technologies for space systems, including optical communications and quantum photonics. Responsibilities include analyzing novel photonics solutions, simulating and manufacturing photonic integrated circuits, and engaging with stakeholders to provide technical guidance. The role requires a PhD and a minimum of five years of relevant experience, emphasizing collaboration and innovation.
Top Skills:
MathematicaMatlabPython
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