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:

 

1. Python Proficiency:

• Utilize Python for data analysis, manipulation, and visualization.
• Develop and implement machine learning models using Python-based libraries and frameworks.

 

1. 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.

 

1. 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.

 

1. Clustering:

• Utilize clustering algorithms to uncover patterns and insights from data.

 

1. Deep Learning Frameworks:

• Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
• Apply knowledge in image, text, and sequence processing models.

 

1. Neural Networks:

• Implement Convolutional Neural Networks (CNN) for image recognition tasks.
• Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.

 

1. 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.

 

1. 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.

 

1. 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.