Data Scientist Intern

Job Title: Data Scientist Intern

Company: Vesta
Department: Data and Analytics – Machine Learning Modeling Team

About Vesta

At Vesta, we are revolutionizing the way businesses and consumers approach fraud prevention and payment security. Our mission is to create a world where trust is inherent in every transaction. Leveraging cutting-edge machine learning, data analytics, and real-time decisioning, we empower businesses to eliminate fraud and unlock new growth opportunities.

As a Data Scientist Intern on our Machine Learning Modeling Team, you will gain hands-on experience in developing and deploying advanced models that drive our fraud detection and prevention systems. You will work alongside a team of talented data scientists, engineers, and domain experts to solve complex problems and deliver impactful solutions.

Key Responsibilities

• Model Development: Assist in designing, building, and optimizing machine learning models for fraud detection, risk assessment, and payment security.
• Data Analysis: Perform exploratory data analysis (EDA) to uncover insights, identify trends, and inform model development. 
• Feature Engineering: Support the development and implementation of innovative feature engineering techniques to enhance model performance.
• Model Deployment: Collaborate with engineering teams to deploy models into production environments and monitor their performance.
• Coding Skills: Utilize Python for data analysis, model development, and automation of data workflows, with guidance on version control using Git.
• Collaboration: Work closely with cross-functional teams, including engineering, DevOps, TechOps, product, and business stakeholders, to align data science initiatives with business goals. 
• Documentation: Assist in maintaining clear and comprehensive documentation of models, processes, and results.
• Research: Stay up to date with the latest advancements in machine learning, fraud detection, and payment security to incorporate into Vesta’s solutions. 

Qualifications

Required:

• Currently pursuing a bachelor’s degree in data science and/or computer science, with an expected graduation date within the next year.
• Proficiency in Python and SQL (or similar query languages) for data manipulation, analysis, and model development.
• Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Understanding of statistical modeling, feature engineering, and model evaluation techniques.
• Strong problem-solving skills, a positive attitude, and the ability to work independently and as part of a team.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Meticulous, detail-oriented documentation skills.

Preferred:

• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity or interest in learning about cloud platforms (e.g., Azure) and big data tools.
• Interest in fraud detection, risk modeling, or payment security.
• Contributions to academic projects or relevant coursework in machine learning and data science.