Top Data & Analytics Jobs
The ML Research Scientist role involves developing and optimizing machine learning techniques for scene retrieval and search, working with large data sets for effective application in autonomous driving systems. Key responsibilities include building efficient ML data pipelines, applying advanced deep retrieval techniques, and collaborating with teams to deploy solutions that enhance the NuroDriver's performance.
Seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. Responsibilities include data integration, quality assurance, and exploring new technologies. Requires 5+ years of data engineering experience, proficiency in Azure services, Python scripting expertise, and strong communication skills.
As the Manager of Data Science, you will lead a team of data scientists, manage data-driven projects from inception to deployment, and collaborate with cross-functional partners to address business challenges through advanced analytics and optimization techniques. You will oversee experiment design and ensure alignment with business goals while staying updated on industry trends.
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The Staff Scientist will focus on driving business growth through new product development, process development, and application development. Responsibilities include developing knowledge of filtration and adsorbents, collaborating with quality and manufacturing teams, optimizing production processes, managing customer relationships, and leading validation trials.
This Data Engineer position involves leading technical efforts to enable data analytics for Blue Cross and Blue Shield of Minnesota. Responsibilities include developing data integration solutions, designing data architecture, collaborating with cross-functional teams, and enhancing existing processes. The role requires analyzing test results and executing user story development, ultimately supporting business analytical enablement.
Growth Data Scientist role at Quizlet focusing on driving business insights through data, developing analytical frameworks, and working closely with Product, Engineering, and Design teams to drive user growth. Responsible for A/B testing, analyzing user behavior, and informing product roadmap and strategy using data science techniques.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
The Senior Analyst, Credit Risk will monitor collateral securing credit, assess risks and exposures, utilize VaR analytics for risk management, ensure appropriate margin requirements, and develop metrics reporting. This role requires collaboration across multiple business units to maintain risk appetite and provide effective communication and executive presentations.
The Quant Strategist will develop and enhance quantitative models for risk management, asset/liability modeling, and client engagement. This involves modeling insurance company capital evolution, constructing risk scenarios, developing statistical approaches, and communicating complex concepts clearly to clients.
As an Employee Listening Data Scientist, you will develop and analyze employee feedback programs, providing insights to enhance employee experience while collaborating with stakeholders to support people analytics strategies. The role requires strong analytical skills and experience in using various data analysis tools.
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