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Drive Innovation using Big Data

Data Science Intern

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The Data Science Intern will get hands on experience in supporting the build-out of new & alternate audience platforms across for BDIPlus.
• Identify, ingest, and enrich a wide range of structured and unstructured data into datasets for analysis
• Learn to apply statistical and advanced techniques (e.g. segmentation, machine learning) to develop both prototypes and scalable (i.e. efficient, automated) data analyses
• Conduct basic ad hoc analysis, building models, forecasting viewing behavior
• Extensive code development, debugging, optimizing, and productionizing
• Support the development of machine learning pipeline architecture
• Help build out frameworks for quickly rolling out new data analysis for standalone data-driven products and services to support our platforms
• Be able to transform unstructured raw data in to formats suitable for modeling
• Be able to work in teams and collaborate with stakeholders to define requirements
Basic Qualifications
• Bachelor’s or Master’s degree in a quantitative field
• Knowledge of Python
• Knowledge of algorithms for data mining, machine learning, and/or natural language processing
• Possess some understanding of statistical procedures used in advanced analytics
• Experience processing large amounts of structured and unstructured data using Spark, Hive or other Big Data technologies
• Experience building scalable data models and performing complex relational database queries using SQL (Oracle, MySQL), etc.
Additional Qualifications
• Attention to detail and demonstrated ability to detect and resolve data/analytics quality issues
• Outstanding verbal and written communication skills
• Experienced user of data visualization tools (e.g. Tableau, matplotlib, ggplot2, etc.)

BDIPLUS at a glance

Drive Innovation using Big Data

BDIPLUS focuses on Big Data. Their company has offices in New York City. They have a mid-size team that's between 51-200 employees.

You can view their website at http://bdiplus.com or find them on LinkedIn.

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