Data Science Intern at Bespoke Technologies, Inc.

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Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, Scikit-learn, Machine Learning, Statistical Analysis, Data Analysis, Problem Solving, Analytical Thinking, Team Collaboration

Industry

IT Services and IT Consulting

Description

Data Science Intern Location: Remote Part Time **MUST BE A US CITIZEN TO APPLY. Those who are not US citizens will not be considered.** Overview: We are seeking a motivated and proactive Data Science Intern to join our team on a part-time basis. The ideal candidate is a self-starter who thrives on tackling challenging, real-world data science problems and has a strong focus on machine learning. Key Responsibilities: Design, implement, and evaluate machine learning models, including classical methods (e.g., logistic regression, random forests, gradient boosting) and deep learning methods (e.g., LSTMs, GRUs, CNNs). Perform statistical analyses such as sampling, correlation studies, regression, and hypothesis testing. Collaborate with cross-functional teams to understand business problems and propose data-driven solutions. Document code, methodologies, and results clearly to facilitate knowledge sharing and reproducibility. Continuously research and implement new methods and tools to improve model performance and efficiency. Required Skills & Qualifications: Strong proficiency in Python, PyTorch, and Scikit-learn, including object-oriented programming and writing clean, well-documented code. Hands-on experience with training, testing, and evaluating machine learning models. Solid understanding of statistical concepts and data analysis techniques. Excellent problem-solving abilities and analytical thinking. Ability to work effectively in a team environment. Preferred Qualifications: Pursuing advanced degree in quantitative discipline like math, physics, economics, or engineering. Cumulative GPA of 3.5 or higher. Research experience or involvement in challenging data science projects. What You'll Gain: Practical experience working on impactful, real-world data science projects. Exposure to advanced machine learning techniques and commercial applications. Flexible part-time schedule to accommodate your academic commitments. Potentially contribute to work publishable in conferences.

Responsibilities

The Data Science Intern will design, implement, and evaluate machine learning models while collaborating with cross-functional teams to propose data-driven solutions. They will also document methodologies and results to facilitate knowledge sharing.