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Media Data Product Intern Jobs in New York

Product Operations Associate, Lyft Media
By Lyft At New York, NY, United States
Maintain existing markets: identify defective units, coordinate recalls with driver / fleet, manage payments
Assist in the development of standard operating procedures and work closely with Operations Managers to implement them
Experience with MODE or Tableau (dashboarding) preferred
Experience working with rideshare / taxi drivers & fleets preferred
Experience building processes from scratch & implementing them to solve business problems
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Product Manager (Media / Publishing)
By Motion Recruitment At New York, NY, United States
A minimum of five years of product experience in the media or publishing industry with a Product Management title.
Manage the scope of work, development, and impact of projects while contributing to the product roadmap.
Manage cross-functional relationships and balance competing priorities with ease.
Collaborate with team members to communicate across work focus areas and share knowledge within the team.
A degree or equivalent experience in a relevant field.
Expertise in Scrum Agile methodology and experience working in a scrum environment.

Are you looking for an exciting opportunity to work with media data? We are looking for a Media Data Product Intern to join our team and help us develop innovative products that will revolutionize the way people interact with media data. As a Media Data Product Intern, you will be responsible for researching and analyzing data, developing product prototypes, and helping to create a user-friendly interface for our products. If you have a passion for media data and a creative eye for design, this is the perfect opportunity for you!

Overview:

Media Data Product Interns are responsible for helping to develop and maintain data products for media companies. They work closely with data scientists, product managers, and other stakeholders to ensure that data products are accurate, up-to-date, and meet the needs of the company.

Detailed Job Description:

Media Data Product Interns are responsible for helping to develop and maintain data products for media companies. They work closely with data scientists, product managers, and other stakeholders to ensure that data products are accurate, up-to-date, and meet the needs of the company. They are responsible for collecting, analyzing, and interpreting data to create meaningful insights. They also help to develop and maintain data pipelines, databases, and other data products.

What is Media Data Product Intern Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Ability to interpret and communicate data
• Knowledge of SQL, Python, and other programming languages
• Knowledge of data visualization tools
• Ability to work independently and collaboratively
• Excellent communication and interpersonal skills

What is Media Data Product Intern Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with data analysis and data visualization
• Experience with data pipelines and databases
• Knowledge of machine learning algorithms and techniques
• Experience with data mining and data wrangling

What is Media Data Product Intern Knowledge?

• Knowledge of data analysis techniques and tools
• Knowledge of SQL, Python, and other programming languages
• Knowledge of data visualization tools
• Knowledge of machine learning algorithms and techniques
• Knowledge of data mining and data wrangling

What is Media Data Product Intern Experience?

• Experience with data analysis and data visualization
• Experience with data pipelines and databases
• Experience with data mining and data wrangling

What is Media Data Product Intern Responsibilities?

• Collect, analyze, and interpret data to create meaningful insights
• Develop and maintain data pipelines, databases, and other data products
• Work closely with data scientists, product managers, and other stakeholders to ensure that data products are accurate, up-to-date, and meet the needs of the company
• Monitor data quality and accuracy
• Assist in the development of new data products and features