Rackspace Technology

Data Science Engineer I

Rackspace Technology

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Colorado, New York, Washington

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Salary

💰 $69,900 - $119,460 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowAndroidAWSAzureCloudDjangoGoogle Cloud PlatformNumpyPandasPostgresPythonPyTorchReactScikit-LearnSparkSQLTensorflow

About the role

  • Assist in developing, training, and validating machine learning models for real-world applications (e.g., classification, prediction, and recommendation systems).
  • Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools
  • Perform data cleaning, normalization, and feature engineering to prepare high-quality datasets for ML training and evaluation.
  • Collaborate on ML projects such as outcome prediction systems, image classification models, and intelligent search interfaces.
  • Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g., React, Django, REST APIs).
  • Participate in MLOps workflows, including model versioning, basic deployment tasks, and experiment tracking.
  • Document data flows, ML experiments, and application logic consistently.
  • Attend Agile meetings and collaborate with peers through code reviews and sprint activities.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Experience in machine learning, data engineering, or software development roles (internships or academic projects acceptable).
  • Solid understanding of supervised learning, classification, and data preprocessing techniques.
  • Experience with data engineering concepts, including SQL, PostgreSQL, and REST API integration
  • Basic knowledge of data ingestion and transformation concepts.
  • Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
  • Familiarity with full-stack or web-based ML applications (e.g., React, Django, or Android Studio projects).
  • Familiarity with SQL and data wrangling tools.
  • Experience with version control tools like Git.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and documentation skills.
  • Enthusiasm for learning new tools and growing within a collaborative team environment
  • Candidates need to be legally allowed to work in the US for any employer