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

Seeking a Senior Data Engineer at Spokeo to develop, optimize, and improve data technologies such as ETL data, pipeline, storage, and entity resolution. Responsibilities include building infrastructure and data automation pipelines, working on big data ecosystems, developing data analysis tools, and following best practices for data governance. Requires 7+ years of development experience in data engineering, hands-on programming experience with Python, and experience in working with AWS, Spark, SQL, and Airflow.

Seeking a Data Science Manager to oversee data-driven assessment of provider quality, manage a team of data scientists and researchers, and contribute to industry thought leadership. Ideal candidate has 8+ years of experience, management experience, healthcare background, and startup environment experience. Must be dedicated to improving the U.S. healthcare system.

The Business Intelligence Analyst at Check will be responsible for developing and maintaining core data models, turning data into actionable insights, collaborating with stakeholders, and partnering with various teams to drive business impact.

Ontra is seeking a Staff Data Scientist to propel the future of legal tech AI using data. The Staff Data Scientist will work with product stakeholders to identify areas where data insights can provide business value and will lead efforts to define how data will be used to power business growth at Ontra.

Lead regional data harmonization, governance, cleansing, and migration tasks for a 100% remote position with Mondelēz International. Responsibilities include managing a team, overseeing data migration workshops, establishing data governance, and ensuring seamless cutover plan execution. Ideal candidate should have deep knowledge of SAP data management, business processes, and proficiency in Microsoft Office solutions.

Design, develop, and deploy machine learning solutions for marketplace challenges while collaborating with cross-functional teams to meet business goals and enhance operational efficiency.

Leverage organizational data to generate insights that improve user experiences and business functions. Develop predictive and prescriptive models. Collaborate with cross-functional teams to deploy models and create business-aligned workflows.