Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
rockITdata

Full Stack Data Scientist

rockITdata

Full Stack Data Scientist at rockITdata leveraging advanced analytics to drive impactful business outcomes. Collaborating with teams to build scalable data-driven solutions in the healthcare industry.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data PreprocessingExploratory Data AnalysisFeature EngineeringMachine Learning AlgorithmsStatistical ModelingPython ProgrammingR ProgrammingSQLTensorFlowPyTorch