Data Internships - Ai / Ml, Business Intelligence, Data Analytics & Science
Paramount
Fort Lauderdale, FLThis was removed by the employer on 1/1/2024 5:33:00 PM PST
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This is a Full Time Unpaid Internship
Data Internships - AI/ML, Business Intelligence, Data Analytics & Science (Summer 2024 - NYC, LA)
Emerging Talent at Paramount
College students, start your career at the forefront of culture and conversation and work for entertainment's most iconic brands!
Our Summer Internship Program offers endless ways to explore careers through an immersive 10-week, well-rounded paid program that encourages students to bring their passions and insights to work. Most importantly, the program acts as a pipeline for future opportunities.
Exciting perks tailored just for you!
• Speaker series with industry experts
• Unique networking opportunities & social events
• Complimentary Paramount with Showtime subscription during your internship
• Workshops on crafting your resume, nailing interviews and career strategy
• 1:1 mentorship, volunteer opportunities, on-the-job learning and so much more!
Types of Roles:
AI / ML
Our mission is to use modern data science to inform decision-making relating to content windowing and investment across Paramount. In this area, you will join a group of top-notch data scientists and data engineers who build predictive models that support highly critical multi-million dollar content-related decisions. This will be achieved in collaboration with our other data science and research groups across Paramount. This represents a uniquely exciting opportunity for a machine learning engineer intern to deliver impact at a leading premium global content company, in an exciting and rapidly-evolving industry.
Qualifications:
• Major in Computer Science
• Python experience
• Experience with Pandas, scikit learn and other data science libraries
• Experience with Airflow
Data Engineering
The Data Engineer Intern should possess a deep sense of curiosity and a passion for building smarter products based on data, and the ability to communicate data structures and tools throughout the Digital Media organization. If you have interest in helping support data pipeline development, which includes machine-learning algorithms using disparate data sources or extracting patterns from large datasets and transform data into an informational advantage this is a great role for you to consider!
Collaborate with the internal product and business intelligence teams to resolve the best approach around data ingestion, structure and storage, then working with the team to ensure accurate implementation.
Ability to break down and communicate highly complex data problems into simple, feasible solutions.
Qualifications:
• Experience with tools such as: Python, SQL, Advanced SQL, git, Apache Airflow, Django Chart.js, D3.js BigQuery, dbt.
• Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB).
• Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.
• Strong problem-solving and creative-thinking skills.
• Experience with developing data pipelines.
• Experience with Google Cloud, Microservices Ex, Grafan, Jira, Confluence is a plus.
Data Science & Data Analytics
Data analytics & data science is at the heart of decision making in steaming and drives critical decisions across marketing, content & customer service here at Paramount! We are scaling up our international data analytics efforts for streaming to transform how we manage customers across all life cycles. Through testing, we drive business, product, and operational decisions by providing rich data, strategic insights, and product improvement decision-support. If you're a passionate analyst that has interests about data and entertainment and who thrives in a dynamic and fast-paced environment this may be the right role for you!
Qualifications:
• Strong MS Office skills, especially Excel
• Proficient with analytical tools and languages supporting data analysis, reporting, and visualization - Excel, Google Collaborative Apps (Docs,