Summer Intern - Data Analytics Group
Fox Networks Group
Los Angeles, CAThis was removed by the employer on 5/30/2018 9:05:00 AM PST
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Full Time Unpaid Internship
The newly formed Fox Data Analytics Group is seeking a Data Science Intern to join our team to help adopt Advance Analytics techniques to transform the business. The ideal candidate will possess basic knowledge in Machine Learning and AI concepts and willingness how to apply them in a real business context and measure its impact. The candidate will collaborate and work closely with more senior members of the Data Science team through the entire life-cycle of a project from hypothesis definition, data preparations, model design, model tuning, evaluation and deployment.
Learning Objectives:
• Understanding how to properly scope a Data Science project in a business context and measure its impact.
• Learn best practices in machine learning model development and evaluation.
• Application of machine learning at scale using technologies such as Spark.
Qualifications:
• The candidate will be in the process MS in Computer Science, Machine Learning or related fields. PhD students will be a plus.
• Understand of basic machine learning concepts such as model selection, creation, hyper parameter selection and validation for supervised and unsupervised Machine Learning models.
• Experience with Data Analytics languages and frameworks such as Python pandas, scikit-learn or R.
• Proficiency in SQL and shell scripting.
• Experience with Deep Learning frameworks such as Tensorflow or Keras is a plus.
To participate in Fox's Internship program you must meet the following criteria:
• Applicants must be enrolled full-time in a graduate degree program at an accredited university and be sophomore status or above.
• Be eligible to work in the United States without sponsorship by the Company.
• Housing is not provided, so please have a housing option guaranteed before applying.
Application Process:
Please submit a resume and a cover letter detailing your qualifications.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.