Full Stack Data Scientist

🕒 July 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 36%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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rockITdata

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

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. • Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes. • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data. • Create interactive visualizations and dashboards to effectively communicate findings to stakeholders. • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques. • Optimize model performance through feature engineering, hyperparameter tuning, and model selection. • Build scalable and efficient software solutions for deploying machine learning models into production environments. • Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making. • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement. • Conduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutions. • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders. • Communicate technical concepts and findings effectively to both technical and non-technical audiences.

🎯 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

• Flexible work arrangements