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.