Remote Full Stack Data Scientist

Description:

• rockITdata is a veteran, minority, and woman-owned small business that specializes in management and IT services.
• The company helps organizations build efficiencies, decrease costs, and drive better outcomes using cloud-based AI and machine learning technologies.
• The Full Stack Data Scientist will develop end-to-end data-driven solutions and leverage advanced analytics to drive impactful business outcomes.
• Key responsibilities include developing robust data pipelines, conducting exploratory data analysis, designing and deploying machine learning models, building scalable software solutions, monitoring model performance, and collaborating with cross-functional teams.
• This position is fully remote and offers an exciting opportunity to work with cutting-edge technologies.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field is required.
• Proven experience in data preprocessing, exploratory data analysis, and feature engineering is necessary.
• Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis is essential.
• A strong understanding of machine learning algorithms and statistical modeling techniques is required.
• Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn is needed.
• Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP) is required.
• A solid understanding of software engineering principles and best practices for building scalable and maintainable code is necessary.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment.
• Employees are empowered to be themselves and encouraged to think entrepreneurially.
• rockITdata promotes a culture defined by its 10 Guiding Principles, which emphasize values such as transparency, progress, and collaboration.
• The company is committed to equal employment opportunities and provides accommodations for candidates with disabilities.