Top Data & Analytics Jobs in Washington DC,
The Data Analyst at Apiture will analyze complex datasets, develop predictive models, and derive insights to guide strategic decisions. This role involves collaboration with clients, data visualization, and operational support of data products while mentoring other analysts.
The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.
The Revenue Operations Analytics Manager will conduct data analysis to identify revenue opportunities, improve customer experience, and troubleshoot operational challenges. This role involves analyzing market data, sales metrics, and internal processes to maximize efficiency and revenue growth.
Join a team that is building a search engine aimed at simplifying access to information generated by sensing technologies like satellites and drones. The company focuses on developing cutting-edge technologies in data indexing and search, inviting applicants for general roles to help change how different sectors interact with Earth data.
The Reporting Analyst will develop and optimize SQL queries, design reporting dashboards, collaborate with teams on reporting needs, ensure data accuracy, and communicate findings to stakeholders. A strong focus on continual learning and adapting to industry trends in data analysis is required.
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
The Trading Operations Analyst will assist with financial transactions, perform reconciliations, prepare reports, and manage accounting tasks. The role involves collaboration with the Fund Accounting team and daily operations support for the Trading Desk, including reporting P&L estimates and processing corporate actions.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
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