Summary
Media Products (AMP) Video QC
& Metadata Operations teams are looking for a highly motivated and
dedicated Data Science and Visualization specialist to support AMP Video QC
& Compliance and Metadata Operations teams’ data analytics and science
needs.
In this role, a primary focus
is on our growing Video Operations through content- and user-centric data science
solutions that provide insights into operational effectiveness, efficiencies,
and excellence.
Key Qualifications
• Excellent interpersonal and
communication skills
• Experience in Data
Visualization (Tableau, Python required; Splunk a plus), if Javascript and its
libraries (e.g., D3, ReactJS, Next.JS) a plus
• Strong experience and
knowledge of data wrangling with proficient SQL (Trino, Postgres, Oracle
required; SparkSQL, Teradata a plus)
• Experience using statistics
to identify trends and anomalies in datasets using statistical techniques
required.
• Experience in building
robust and scalable data pipelines and ETL jobs with Python, Pandas required;
Pyspark and Scala (desired)
• Experience in querying data
through API (RESTful or GraphQL), using JSON, ProtocolBuffers, or XML desired;
if with API development experience a plus
• Experience or working
knowledge with Big Data technologies such as Hadoop, Hive, HDFS, Parquet,
PySpark, and Spark desired
• Working knowledge of
Kubernetes, AWS, or CI/CD development (e.g., Airflow, Jenkins) a plus
• Exposure or interest in the
UX/UI frontend development (e.g., ReactJS, Typescript) or Machine Learning
(e.g., Scikit-Learn, Tensor Flow) a plus
• An independent learner,
insatiably curious, and a creative thinker
• Ability to work both
independently and within a team environment
• Passion for movies,
television, sports, fitness, or other video content
Description
Develop interactive data
visualizations, data pipelines/ETL jobs, and reporting to analyze and present
data related to video contents, asset reviews, metadata curations, and
operational supports.
Closely partner with the
internal teams within the AMP Video QC & Metadata Operations organization
to define metrics, KPIs, and automation strategy while meeting the teams’ data and
reporting needs.
Automate and optimize
existing data processing workloads by recognizing complex data structures and
technology usage patterns and implementing solutions.
Focus on scale and efficiency
— build and implement innovative data solutions and establish best practices
with a start-to-end workflow in mind.
Education & Experience
Bachelor or Master's degree
in a related field, such as Data Science, Computer Science, Statistics,
Mathematics, Business Analytics, Business Administration, or
