Full Stack Data Scientist

🔥 15 hours ago

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rockITdata

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

Artificial Intelligence • Consulting • Technology

rockITdata is a consulting firm that specializes in providing strategic solutions and support in the areas of AI, Data & Analytics, IT Transformation, and Management Consulting. The company focuses on leveraging cloud-based and AI-driven technologies to transform customer experiences and streamline operations. Their expertise lies in serving both commercial and public sector industries, offering bespoke solutions that integrate dual-use technologies to drive business growth and enhance customer engagement. rockITdata is committed to delivering innovative solutions that empower teams and optimize customer relationships through advanced technology partnerships.

📋 Description

• Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources. • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data. • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques. • Build scalable and efficient software solutions for deploying machine learning models into production environments. • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement. • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. • Proven experience in data preprocessing, exploratory data analysis, and feature engineering. • Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI) • Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. • Strong understanding of machine learning algorithms and statistical modeling techniques. • Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. • Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP). • Solid understanding of software engineering principles and best practices for building scalable and maintainable code.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Paid time off • Professional development opportunities