
51 - 200 funcionários
Fundada em 1995
Analytics • Data Science • Financial Services
A Elder Research é uma empresa de análise de dados que se especializa em elaborar soluções analíticas inovadoras para informar a tomada de decisões e transformar organizações. Com quase 30 anos de experiência, eles oferecem serviços como estratégia de dados, entrega de análises e treinamento da força de trabalho em vários setores, incluindo saúde, serviços financeiros e governo. Sua abordagem abrangente integra metodologias avançadas para enfrentar desafios complexos de negócios e fornecer insights acionáveis.
🕒 Maio 8
🗣️🇺🇸🇬🇧 Inglês obrigatório
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51 - 200 funcionários
Fundada em 1995
Analytics • Data Science • Financial Services
A Elder Research é uma empresa de análise de dados que se especializa em elaborar soluções analíticas inovadoras para informar a tomada de decisões e transformar organizações. Com quase 30 anos de experiência, eles oferecem serviços como estratégia de dados, entrega de análises e treinamento da força de trabalho em vários setores, incluindo saúde, serviços financeiros e governo. Sua abordagem abrangente integra metodologias avançadas para enfrentar desafios complexos de negócios e fornecer insights acionáveis.
• Responsible for data mining, data preparation, and reporting. • Prepare and conduct analyses and studies, needs/gaps assessments. • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. • Documents and summarizes the results and develops and recommended solutions to the customers problems. • Prepares big data, implements data models developed by others, and provides database support for customer solutions. • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.
• Four (4) years 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 two (2) years of experience applied data science research or big data analytics. • Bachelors Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline. • A Masters degree may be substituted for up to two (2) years of relevant experience. • A PhD may be substituted for experience. • Knowledge of data mining methods, databases, data visualization and machine learning. • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA). • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. • Strong SQL skills, and ability to identify issues with data. • Experience with Qlik. • Experience with Tableau. • Experience with PowerBI tools. • Familiarity with Databricks or similar cloud-based distributed database technologies. • Understanding of database and database design. • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data. • Demonstrated experience within an AWS environment (AWS certifications preferred). • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data. • Ability to travel to and work on site at clients as needed. • Excellent communication skills both verbal and written.
• Competitive Salary and Benefits • Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. • Job Stability : Elder Research is not a typical government contractor, we hire you for a career not just a contract. • Remote Work: in an industry of declining remote work opportunities. • People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. • Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.
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