Data Scientist Subcontractor

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.