Data Scientist Intern

Key Skills

Java Programming, Python Programming, SQL, NoSQL, NumPy, TensorFlow, D3.js, Scikit-learn, R Programming, ggplot, Decision Forests

Job Description

Internet Brands is looking for a Data Scientist Intern to join our Los Angeles-based headquarters. As a Data Scientist Intern, you will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and services. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality analytical and prediction systems integrated with our products. Examples projects include optimization of lead generation systems using machine learning techniques and building recommendation systems for personalized user content. Some of the brands/verticals you will work on are WebMD, Medscape, and Legal.

Responsibilities:

• Selecting features, building and optimizing classifiers using machine learning techniques.
• Data mining using state-of-the-art methods.
• Extending the company's data with third-party sources of information when needed.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Doing ad-hoc analysis and presenting results in a clear manner.
• Creating automated machine learning-based systems and constant tracking of its performance.

Skills and Qualifications:

• Have graduated or will graduate in Spring 2023.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow.

Excellence in at least one of these is highly desirable:

• Great communication skills.
• Experience with data visualization tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL.
• Experience with NoSQL databases.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills in Python or Java.
• Data-oriented personality.

Education:

• B.S. in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields.
• M.S. or PhD in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields.