
51 - 200 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Elder Research is a data analytics company that specializes in crafting innovative analytics solutions to inform decision-making and transform organizations. With nearly 30 years of expertise, they provide services such as data strategy, analytics delivery, and workforce training across various industries, including healthcare, financial services, and government. Their comprehensive approach integrates advanced methodologies to address complex business challenges and deliver actionable insights.
🕒 May 15
Where this job comes from
Posted on Elder Research's careers page, not through a job board
First seen by Remote Rocketship May 15

51 - 200 employees
Founded 1995
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Elder Research is a data analytics company that specializes in crafting innovative analytics solutions to inform decision-making and transform organizations. With nearly 30 years of expertise, they provide services such as data strategy, analytics delivery, and workforce training across various industries, including healthcare, financial services, and government. Their comprehensive approach integrates advanced methodologies to address complex business challenges and deliver actionable insights.
• Supports U.S. Customs and Border Protection in the Washington DC area • Apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data • Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights • Design and implement data-driven solutions, focusing on advanced analytical methods, data models, and visualizations • Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations • Identify trends and problems through complex big data analysis • Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics
• Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline • At least three (3) years of direct experience in machine learning • Advanced Degree (Master's or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning • Ability to communicate analysis techniques, concepts and products • Ability to develop data-driven solutions, data models, and visualizations
• Health insurance • Parental leave • Bereavement leave • Paid time off • Flexible work arrangements
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