Seeking Experienced AI Data Scientist for Predictive Analytics and Machine Learning Project

We are looking for an experienced AI Data Scientist to join our team on a freelance basis. The ideal candidate will have a strong background in machine learning, predictive analytics, and data engineering. The project involves analyzing large datasets, building predictive models, and providing actionable insights to help drive business decisions.

Responsibilities:

1. Analyze and preprocess large datasets from various sources.
2. Develop and implement machine learning algorithms and models.
3. Perform exploratory data analysis to uncover patterns and insights.
4. Use statistical techniques to evaluate model performance and accuracy.
5. Collaborate with our team to integrate models into existing systems.
6. Visualize data findings and model results using appropriate tools.
7. Document the modeling process and provide detailed reports on findings and recommendations.

Requirements:

1. Proven experience as an AI Data Scientist or in a similar role.
2. Strong knowledge of machine learning algorithms, predictive modeling, and statistical analysis.
3. Proficiency in programming languages such as Python, R, or similar.
4. Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch).
5. Familiarity with data preprocessing and feature engineering techniques.
6. Ability to work with large datasets and distributed computing tools (e.g., Hadoop, Spark).
7. Strong analytical and problem-solving skills.
8. Excellent communication skills, both written and verbal.
9. Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field is preferred.

Preferred Qualifications:

1. Experience with deep learning and neural networks.
2. Knowledge of big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud).
3. Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

Project Details:

• Estimated Duration: 3-6 months
• Hours Required: 20-30 hours/week
• Budget: $50 per hour
• Location: Remote

Application Process: To apply, please submit the following:

1. Your updated resume or CV.
2. A brief cover letter explaining your relevant experience and why you are a good fit for this project.
3. Examples of previous work or case studies that demonstrate your expertise.
4. References or testimonials from past clients (if available).