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Top Entry Level Data Science Jobs
The Data Scientist will research and develop AI and data-enabled tools for space enterprises, involving machine learning, natural language processing, and computer vision. They will work on varied projects, mentor others, and contribute to solving critical problems for national security and civil applications.
As an AI Research Associate in Synthetic Data, you will conduct end-to-end AI research focusing on financial services, collaborating with various teams and partners. Your responsibilities include devising research problems, gathering and analyzing data, developing algorithms, and producing impactful outcomes like publications and prototypes. You will engage with academic communities and contribute to conferences to widen the impact of your research.
As an Associate Scientist in Lab Ops, you will support environmental monitoring and maintain Quality Control laboratories. Responsibilities include writing protocols and reports, data analysis, and adhering to Health and Safety standards. You'll contribute to quality assurance processes that ensure safe products for patients.
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As an Applied AI Scientist, you will develop algorithms for large datasets, apply statistical and data mining techniques to identify trends, evaluate new datasets, and contribute to the firm's thought leadership through research and publishing.
As an R&D Associate Scientist at Kraft Heinz, you will support and lead product development projects focusing on refrigerated meals. Responsibilities include commercialization of new products, collaborating with cross-functional teams, conducting feasibility assessments, executing trials, and applying scientific principles to enhance product lines.
The Data Scientist will collaborate with product managers, designers, and engineers to create innovative experiences using data science techniques. They will focus on developing algorithms, improving core systems, and measuring impact to enhance the Jellyfish platform while working in a collaborative environment.
The Variant Scientist will classify somatic and germline variants using liquid biopsy and NGS sequencing, analyze clinical molecular data, summarize genetic test results, and ensure quality control for molecular reports. The role involves curating variant information and might include mentoring junior staff.
The Machine Learning Researcher at Citadel Securities will leverage machine learning and AI algorithms to enhance quantitative trading strategies. Responsibilities include extracting patterns from datasets, implementing algorithms in high-quality code, working with large data sets, back-testing models, and documenting research findings.
As a Research Scientist at Kensho, you will develop state-of-the-art NLP models, contribute to collaborative research projects, and share your findings. You'll work with techniques for large data processing and evaluate new directions in machine learning. Your role focuses on innovative problem-solving and iterative collaboration with a team.
As a People Operations Specialist, you'll analyze PX data to identify trends, manage PX tools, troubleshoot system issues, and collaborate on process improvements. Key responsibilities include maintaining reports, ensuring compliance, supporting projects, and training team members on systems and best practices.
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