Top Data & Analytics Jobs
As a Senior Data Engineer, you will design, develop, and maintain complex data pipelines, focusing on flexibility and developer experience. Responsibilities include collaborating with teams to enhance machine learning capabilities, ensuring data quality, and mentoring junior engineers while improving the system architecture and performance.
The Market Data Specialist will maintain and improve market data feed infrastructure, investigate live issues, coordinate with exchanges, and enhance debugging and monitoring systems used by Jane Street's software engineering team.
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.
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Design, implement, test, deploy, monitor, and support new and existing modules of the Data Platform for a high-tech home security company. Collaborate with external companies, internal teams, analysts, and data scientists to analyze data and ensure home security. Embrace a hybrid work model with flexibility between office and home.
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.
Design, develop, and maintain data models in Redshift, optimize ETL processes, collaborate with teams to identify key metrics, develop dashboards using BI tools, mentor junior team members, and contribute to technical best practices.
The Business Analyst II analyzes complex business problems using data to provide insights for decision-making. Responsibilities include creating reports based on business needs, ensuring data quality, researching trends for presentations, communicating data concepts to stakeholders, and forming strategic recommendations.
The Financial Analytics Engineer will enhance data and analytics infrastructure, focusing on fund planning, portfolio construction, and performance analysis. They will design scalable data pipelines, collaborate on LLM solutions, and ensure seamless data operations with cross-functional teams.
As a Senior Revenue Analyst at Postman, you will analyze large datasets to identify trends, develop forecasting models, create dashboards, ensure data quality, and collaborate with cross-functional teams to enhance product improvements. You'll also provide mentorship to junior analysts and contribute to a data-driven culture.
As a Scientist/Senior Scientist in High-Throughput Screening, you will execute laboratory work involving cloning and high-throughput screening of antibody libraries, collaborate with AI departments, analyze data, optimize assays, and maintain knowledge of screening approaches.
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