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Data Scientist

  • Location: New York, NY
  • Job Type: Contract
  • Ref No: 22-04355
  • Date: June 28, 2022
  • Pay: $0.0 - $0.0 per Hour USD
  • Job title:

Job Description - Data Scientist

We are seeking an experienced Software Engineer to join our team focused on harnessing engineering datapoints via innovative analysis, data science approaches and engineering processes. This role will build and deploy production engineering processes, data science models and data analysis powering engineering insights and quality while uncovering data driven trends to improve our engineering practices and products


  • Obtain, manipulate, and analyze data to answer specific or open-ended questions, utilizing statistical approaches as needed, and distill actionable insights
  • Contribute to Rapid prototyping, building and deployment of production level analysis and models to monitor critical datasets and engineering infrastructure in streaming and batch
  • Work to adopt statistical modeling approaches to gain data insights, draw conclusions and work with engineering partners to put those insights into action
  • Understand engineering infrastructure and business processes that power critical systems
  • Create and manage key engineering health and insight datapoints, providing intelligence into the operations of our engineering infrastructure and ultimately products via visualizations
  • Perform ad-hoc data analysis as needed to uncover engineering issues or inconsistencies and make recommendations on remediation
  • Conduct in-depth analysis on multi-terabyte scale datasets to improve our customers experience across Disney+, Star+, ESPN+ and Hulu
  • Partner with Product, Engineers, QA Analysts and Data Scientists to solve data quality issues at scale

Required Skills:

  • 3+ years of Python, Spark, Pyspark, SQL is required
  • High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift
  • Experience with data visualization tools such as matplotllib, plotly, tableau etc.
  • Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information
  • Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, effectively communicating these to technical and executive audiences across the organization
  • BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired
  • 2+ years of experience in technology industry, knowledge of data and product a plus
  • Knowledge of data science concepts and modeling
  • Understanding of QA pipeline

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