Chief Data Analytics Engineer

5 days ago


Reston, Virginia, United States CloudBC Labs Full time
About the Role

We are seeking an experienced Chief Data Analytics Engineer to join our team at CloudBC Labs. This is a long-term opportunity to work with cutting-edge data science technologies and contribute to the development of innovative analytics solutions.

Responsibilities
  • Design, develop, and deploy large-scale machine learning and deep learning models using Python, R, or other programming languages.
  • Collaborate with cross-functional teams to integrate analytics capabilities into business processes and improve decision-making.
  • Develop and maintain data pipelines, ETL processes, and data warehouses to ensure high-quality and timely data delivery.
  • Mentor junior engineers and provide technical guidance on data science and engineering best practices.
Requirements
  • Master's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience.
  • At least 3 years of experience in building large-scale machine learning or deep learning models and systems.
  • Proficiency in programming languages such as Python, R, or C++, and experience with SQL and relational database technologies.
  • Familiarity with cloud-based platforms like AWS Sagemaker, Jupyter Notebook, and Domino Datalab.
  • Demonstrated skills in data visualization tools like Tableau, Kibana, or Quicksights.
Preferred Qualifications
  • Experience with deep learning frameworks like MXNet, Tensorflow, Keras, or PyTorch.
  • Knowledge of NLP techniques and technologies like Python NLTK, Spacy, or comparable tools.
  • Familiarity with microservices, service mesh, API development, and test automation.
  • Demonstrated experience using Docker, Kubernetes, or other container frameworks.
Salary Range

The estimated salary range for this position is $120,000 - $180,000 per year, depending on location and experience.



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