We are seeking talented students who have a background in mathematics and coding to join our team. The ideal candidate will be passionate about using their expertise in programming, math, and machine learning to develop innovative solutions to complex problems.

Responsibilities:

·         Develop and maintain code for mathematical models, simulations, and algorithms.

·         Collaborate with cross-functional teams to analyze and solve complex mathematical problems.

·         Build data pipelines and analytical tools to support data-driven decision-making processes.

·         Conduct exploratory data analysis and visualization to identify patterns and insights.

·         Develop and implement machine learning models to analyze and predict patterns in data.

·         Perform statistical analysis and hypothesis testing to validate and optimize models.

·         Stay up-to-date with the latest developments in machine learning and data science and apply them to our products.

Requirements:

·         Bachelor's degree in Computer Science, Mathematics, or a related field.

·      No experience required

·         Strong understanding of mathematical concepts, including linear algebra, calculus, statistics, and probability theory.

·         Experience with data analysis libraries such as Pandas, NumPy, and SciPy.

·         Knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

·         Ability to communicate complex mathematical concepts to non-technical stakeholders.

·         Strong problem-solving skills and attention to detail.

·         If you do not meet these requirements we still encourage you to apply!

Location:

· Fully Remote

Work Time:

· Flexible (Monday to Sunday)

Salary Range:

· $20 - $50 per Hour

If you are passionate about using your programming, math, and machine learning skills to develop innovative solutions and want to work in a collaborative, fast-paced environment, we encourage you to apply for this exciting opportunity.

Interested applicants may send their CV's to gonzalesdavidpaul@gmail.com