Quality Data Scientist

Key Skills

Microsoft-Excel, Java Programming, Python Programming, SQL, DevOps, Scrum Agile Methodology, AWS, Apache Hadoop, JIRA, Google BigQuery, NoSQL, Apache Hive, Kubernetes-K8s, Google Cloud Platform (GCP), Scikit-learn, Apache Impala, Amazon Athena, Kanban, Amazon RedShift, Amazon EMR, Amazon Elastic Compute Cloud-EC2, SPARK Programming, Github, Amazon Simple Storage Service (S3), ETL frameworks, Feature Extraction, Transformer, CloudWatch

Job Description

At DISH Wireless, we reimagine connectivity through new platforms, new business models and new ways of thinking.

Today, we are building America’s first cloud-native 5G network to transform the way we live, work and play with unlimited potential. Our teams operate at the intersection of wireless, data analytics, AI and the cloud to create something state-of-the-art, radically original and truly unlike what anyone else can.

Job Duties and Responsibilities

What you will be doing

Primary responsibilities:

• 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

Specific qualifications:

• 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
• Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression – logistical and linear, and pattern recognition
• Experience with ML tools such as Tensorflow and Scikit-learn
• Familiarity with agile methodologies, scrum, kanban, etc
• Industry certifications on DevOps, Cloud Platforms, Kubernetes
• Knowledge of Defect Management Systems such as Jira or GitHub