Elder Research
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.
Model construction • text mining • predictive analytics • sentiment analysis • data science
51 - 200 employees
Founded 1995
Data Scientist
4 days ago
Elder Research
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.
Model construction • text mining • predictive analytics • sentiment analysis • data science
51 - 200 employees
Founded 1995
📋 Description
• Work directly with clients and technical staff to develop data-driven solutions • Create and deploy predictive models from diverse data sources • Utilize analytic environments like Databricks • Deploy products for operational use on data platforms like Advana • Perform statistical learning using machine learning methods • Leverage deep learning techniques for creating large-language models
🎯 Requirements
• Bachelor of Science degree in Computer Science or related IT field • 3+ years of experience • Experience working with Python • Experience with SQL • Experience with R • AWS Experience • JavaScript familiarity • Willingness to learn
🏖️ Benefits
• Supportive work environment • Established parental, bereavement, and PTO policies • Healthy work-life balance with reasonable hours • Solid pay with low travel and flexible time off
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