Member of Scientific Staff
Company: DISH
Location: Littleton
Posted on: May 18, 2023
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Job Description:
Department SummaryAt 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 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
RequirementsSpecific qualifications:A successful MSS will have the
following at a minimum: Bachelor''s Degree or equivalent from
four-year College or technical school, preferably in Computer
Science, Computer Engineering, Information Systems, or other
STEM-related field Proven ability to quickly learn new concepts,
processes, and software and proven ability to deliver quantifiable
results with minimal supervision Proficiency in coding using one or
more of the following: such as Python, Go, R, or equivalent
languages Experience with data visualization tools: such as
Grafana, ELK, Tableau, AWS Quicksight Strong
communication/presentation skills and confidence to work with
internal and external partners Ability to work in teams and
collaborate with others to clarify requirements, quickly identify
problems, and collaboratively find creative solutions Willing to
get hands dirty and dive deep into technical details whenever
necessary Problem solving: ability to analyze and resolve complex
issues regardless of prior expertise 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 Salary RangeCompensation:
$64,150.00/Year - $94,000.00/Year BenefitsFrom versatile health
perks to new career opportunities, check out our benefits on our
careers website .Candidates need to successfully complete a
pre-employment screen, which may include a drug test.
Keywords: DISH, Littleton , Member of Scientific Staff, Other , Littleton, Colorado
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