Data Scientist Subcontractor

The Hackett Group
7h

About The Position

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate is proficient in Python, has extensive experience with cloud platforms (AWS, Azure, GCP), and possesses a strong background in both theoretical and practical aspects of machine learning techniques.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field (Computer Science, Statistics, Data Science, etc.).
  • Proven experience in applying machine learning and deep learning techniques to real-world problems.
  • Strong programming skills in Python and experience with relevant libraries and frameworks.
  • Experience working with cloud platforms (AWS, Azure, GCP).
  • Excellent communication and teamwork skills.
  • A passion for continuous learning and staying current with industry trends.

Responsibilities

  • Utilize Python for data analysis, manipulation, and visualization.
  • Develop and implement machine learning models using Python-based libraries and frameworks.
  • Work with data on various cloud platforms such as AWS, Azure, and GCP.
  • Deploy and manage data science solutions in cloud environments.
  • Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks.
  • Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
  • Utilize clustering algorithms to uncover patterns and insights from data.
  • Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
  • Apply knowledge in image, text, and sequence processing models.
  • Implement Convolutional Neural Networks (CNN) for image recognition tasks.
  • Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.
  • Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc.
  • Apply generative models for various applications, including text and image generation.
  • Effectively communicate findings and insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to deliver impactful data science solutions.
  • Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI.
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