Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The SVP, Data Solutions will lead the development and execution of Inovalon’s data solution portfolio, focusing on healthcare interventions' real-world value. Responsibilities include overseeing operations, managing vendor relationships, and ensuring compliance with company policies. This leadership role requires collaboration with the executive team to enhance operational efficiencies and drive growth in data solutions.

As the Head of Data Feeds, you will lead the Product Management team for data feeds, prioritize customer opportunities, manage the product roadmap, and collaborate with various stakeholders to integrate products into customers' investment processes.

The Lead Database Engineer will design, implement, and maintain PostgreSQL databases for a SaaS platform, ensuring high availability and performance. This role includes providing leadership on data operations, mentoring team members, and optimizing database systems. The candidate will also engage in project management, evaluate new technologies, and ensure compliance with security policies.

The Application Systems Analyst role involves developing full stack applications primarily on the FileMaker platform, consulting with management to meet business goals, developing application specifications, implementing hardware and software, and managing reported incidents.

The Senior Data Scientist develops advanced methods to consolidate and analyze big data for business insights, leads automation projects, and builds complex statistical and machine learning models. Responsibilities include data governance, model refinement, and collaboration with stakeholders to assess model performance and impact.

The Data Architect will lead data and analytics architecture initiatives, designing database systems and data models, and ensuring adherence to enterprise standards and frameworks. Responsibilities include collaborating with stakeholders to create effective data solutions and implementing data management frameworks for scalability and security.

The Senior Applied Data Scientist at Abnormal Security will focus on building and enhancing detection systems for email attacks using machine learning. Responsibilities include analyzing false negatives, training models, feature engineering, and improving system efficacy. The role demands a deep understanding of data analysis and the ability to collaborate with other teams to productionize insights.