Data Scientist Subcontractor

The Hackett Group

  • boca raton, FL
  • 14 days ago

    Highlights

    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. Machine Learning Techniques: Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks.

    Numbers & Facts

    Locationboca raton, FL

    Description

    Data Scientist

    Position Summary:

    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.

    Key Responsibilities:

    • Python Proficiency:
    • Utilize Python for data analysis, manipulation, and visualization.
    • Develop and implement machine learning models using Python-based libraries and frameworks.
    • Cloud Platform Knowledge:
    • Work with data on various cloud platforms such as AWS, Azure, and GCP.
    • Deploy and manage data science solutions in cloud environments.
    • Machine Learning Techniques:
    • 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.
    • Clustering:
    • Utilize clustering algorithms to uncover patterns and insights from data.
    • Deep Learning Frameworks:
    • Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
    • Apply knowledge in image, text, and sequence processing models.
    • Neural Networks:
    • Implement Convolutional Neural Networks (CNN) for image recognition tasks.
    • Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.
    • Generative AI Frameworks:
    • Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc.
    • Apply generative models for various applications, including text and image generation.
    • Communication and Teamwork:
    • Effectively communicate findings and insights to both technical and non-technical stakeholders.
    • Collaborate with cross-functional teams to deliver impactful data science solutions.
    • Continuous Learning:
    • Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI.

    Qualifications:

    • 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.

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