Top Senior Level Data Science Jobs
The Data Science Developer analyzes large datasets, develops machine learning algorithms, collaborates with medical professionals and software engineers, designs software tools for medical image processing, implements deep learning architectures, and ensures compliance with regulatory standards.
As a Senior Data Scientist, you'll drive the technical roadmap for risk monitoring, develop prediction models, analyze data, and collaborate across teams to deliver data-driven insights. You will also manage and mentor team members while ensuring high-performance models through excellent data science practices.
The role involves performing complex statistical and data-mining analysis using tools like Python, SQL, and R. Responsibilities include developing analytical models, automating processes, building data visualizations, and collaborating with teams to produce insights for product and service development. Additionally, the candidate is expected to stay updated with industry trends and engage with stakeholders for project goals.
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As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.
As an Automation Database Developer, you will automate database operations including deployments and performance monitoring. Responsibilities include utilizing various scripting and programming languages, working with Oracle databases, and driving projects to completion while documenting your methods.
As Data Technical Lead, you will oversee data consulting projects, guide data modeling and solutions, cultivate client relationships, mentor team members, and contribute to the growth of the data practice while ensuring project success and identifying business opportunities.
Lead the development of a unified data reference architecture, data modeling, and implementation of data mesh or data fabric. Collaborate with teams, evaluate technologies, ensure compliance, and monitor performance of data architecture. Top Secret clearance and Bachelor's or Master's degree required.
The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.
The Senior Data Scientist will provide expertise in machine learning and data science, work on projects including NSF protocols, and support research while acting as the primary liaison for the technical team.
As a Data Scientist II at Putnam, you will lead a team to solve analytical problems for clients in the pharmaceutical and biotechnology sectors. Responsibilities include managing analytical workstreams, coaching junior team members, and synthesizing analyses into actionable recommendations. You will work extensively with big data, statistical testing, machine learning, and data visualization tools.
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