Senior Data Scientist - Contractor

April 26

Tech Holding

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Think big, Start small, Scale fast!!!

Management • nodeJS • ReactJS • Machine Learning • Artificial Intelligence

51 - 200

Description

• The Data Scientist will be responsible for leveraging the power of data analysis and modeling to solve complex problems and drive strategic decisions • Utilizing a strong background in AWS environments, the ideal candidate will extract insights from large datasets, build predictive models, and implement machine learning algorithms to support the company's objectives • Develop and implement data models, machine learning algorithms, and analytical processes to support company initiatives • Design and construct data architectures for scalability, reliability, and performance within an AWS environment • Analyze large, complex datasets to identify meaningful patterns and trends, and translate data-driven insights into actionable business strategies • Collaborate with cross-functional teams to understand data needs and deliver solutions that enable effective decision-making • Ensure data quality and integrity by developing and maintaining clear and robust data pipelines • Stay abreast of industry trends and advancements in data science and machine learning to maintain a competitive edge

Requirements

• Minimum 6+ years of experience in data science or a related field • Proficiency with AWS cloud services and infrastructure as it pertains to data science • Strong foundation in computer science principles and a deep understanding of statistical analysis • Must have certifications in AWS, Data Engineering, and Data Analysis • Experience with machine learning frameworks and tools • Excellent problem-solving abilities and a commitment to delivering high-quality results • Strong communication skills with the ability to convey complex concepts to non-technical stakeholders • Experience with Convolutional Neural Network (CNN) • Experience with Recurrent Neural Network (RNN)

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service