Quality Data Scientist

  • Full Time
  • USA
  • Posted 4 months ago
  • Salary: $64,150.00/Year - $94,000.00/Year

Company Details

Together, we’re reimagining the future.


Job Description

Department Summary

DISH is transforming the future of connectivity. We’re doing it by building the country’s first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.

Job Duties and Responsibilities

As a Quality Data Scientist you will work in agile teams to deliver data-driven continuous improvements of our cloud network and related ecosystem. Define and run experiments, in a wide variety of technical areas, to test our cloud network and related ecosystem. Analyze data to discover opportunities and quantify improvements in performance and quality of our cloud network and related ecosystem. Deliver business performance/capability Improvements, by executing projects from initial data exploration through proof of concept, refinement, automation and delivery of as a Service (aaS) solution

  • Collaborate with senior management to execute and provide feedback on the Quality and Transformation strategy, governance, standards, communication and training
  • Assess organizations, processes, products, and services performance/capabilities to identify improvement opportunities
  • Execute performance improvement projects through definition, measurement, analysis, improvement, and control to  address opportunities
  • Execute capability improvement projects through discovery, Proof of Concept, automation and governance to address opportunities
  • Track the definition, deployment, and institutionalization of improvement projects
  • Lead internal and vendor organization Quality Reviews, tracking the status of opportunities and improvements
  • Develop, measure, analyze KPIs and metrics to drive improvement

In this role you will:

  • Embrace “cloud native” principles and help implement Everything as Code
  • Take initiative to discover opportunities for continuous improvement
  • Perform exploratory data analysis, data cleansing, and apply statistical and AI/ML methods to a wide variety of data types
  • Document Proof of Concepts, results and best practices
  • Present demos of your work with executives and colleagues on a regular basis, as well as review and provide feedback on peer demos
  • Learn from subject matter experts and contribute to the discovery and implementation of a first-of-its-kind cloud network and related ecosystem
  • Work with teams of network engineers, build / site reliability engineers, data scientists, and program managers both internally and across the ecosystem
  • Work in a DevOps manner: continuously learn, question, experiment, and analyze results in a high velocity team
  • Think critically: applying common sense, creativity, and technical expertise to challenging problems to develop new systems rather than settle for “the way it’s always been done”
  • Deliver as Code and as a Service solutions to enable further automation and AI/ML driven improvements
  • Work across an ecosystem of cloud providers, independent software vendors, developers and enterprise channels

Skills, Experience and Requirements

  • Bachelor’s Degree from four-year college or university, and 2+ years of related experience
  • Understanding and certifications in quality management, process improvement and/or  program management, including risk management, tools and techniques
  • Understanding of software development lifecycles, particularly Agile, Lean, DevOps
  • Strong communication skills and the ability to present to executive leadership
  • Experience in Quality Management Systems a plus
  • Experience in statistical analysis a plus
  • Experience in AI/ML, process mining a plus
  • Experience in a software intensive organization a plus
  • Experience using data to drive improvements.
  • A data driven improvement mindset
  • A keen eye for detail and a results driven approach
  • Great team player with strong interpersonal skills

The following additional qualifications are a plus:

  • Masters in Computer Science, Computer Engineering, Telecommunications, or a related field
  • 2+ years of experience in an advanced technology industry and data-driven environment
  • Strong software engineering fundamentals including writing high performance code, testing and debugging
  • Experience working with CI/CD pipelines, infrastructure automation, and a container-based software environment
  • Experience using ETL (Extract, Transform, and Load) and using SQL-based and non-SQL-based technologies: such as AWS Athena, BigQuery, Spark, Hadoop, Hive, Impala, etc
  • Experience with foundational AWS services: such as EC2, S3, EMR, EKS, Cloudwatch, Redshift, etc

Candidates need to successfully complete a pre-employment screen, which may include a drug test.

If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact accessibility@dish.com. This contact information is for accommodation requests only; you may not use this contact information to inquire about the status of applications.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer – Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, veteran status, or any other category protected by law. We are a true merit-based organization and work hard so there are no artificial barriers to one’s potential success. DISH is committed to a workforce where everyone’s opportunities are limitless.

Consistent with this commitment, DISH will endeavor to provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to the employee or others, or is otherwise not required by law.

Tagged as: Docker, Kubernetes, tensorflow, scala, scikit-learn, spark ml, automl, dataiku

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