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Data Scientist (Data Analyst II)

PrideNow Austin, TX (Onsite) Full-Time



What are we looking for in our Data Scientist (Data Analyst II)?

Our client is looking for care 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 client’s 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)
  • 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
  • Experience in querying data through API (RESTful or GraphQL), using JSON, Protocol Buffers, 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

    Rate Range: $45/hourly -$52/hourly depending on professional experience. 

    Role Responsibilities: 
    • 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
    Education & Experience 
    Bachelor's or master's degree in a related field, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred

    Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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    Job Snapshot

    Employee Type

    Full-Time

    Location

    Austin, TX (Onsite)

    Job Type

    Information Technology, Science, Research

    Experience

    Not Specified

    Date Posted

    05/12/2024

    Job ID

    407431

    Apply to this job.

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