Company Name:-
DISH

Job Location:-
Littleton, CO 80120

Job Summary:-
Job detailsSalary$99,360 a yearFull Job DescriptionAt 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.

High-level job responsibilities:
The Data Science Engineer is responsible for building AI/ML solutions to identify insights, predictions and recommendations using the DISH Wireless Commercial data providing value to the DISH business team and build analytics product offerings in the marketplace for Commercial customers.

These monetizable products should have necessary guardrails aligning with security, privacy, compliance and regulations.

This individual will play an active role in delivery and ensure alignment to the end-state architecture.

Day-to-day job responsibilities:
Provide technical expertise in Advanced Analytics
Discover information hidden in vast amounts of data, and help make smarter decisions to deliver a better product and service
Process, cleanse, and verify the integrity of data used for analysis
Work with various business units to develop automated data science solutions that add business and customer value
Translate complex data science concepts to business understandable insights
Build prototypes to test proof-of-concepts
Address technical concerns, ideas and suggestions
Monitor systems to ensure they meet the partner, user and business goals
Ability to work in agile team environment and adapt to new/changing requirements
#LI- AY
#DICE
Specific qualifications:
5+ years of hands-on Data Science development experience with delivering secure, reliable and scalable data science solutions using agile methodologies
Strong coding experience in SQL and Python or R or Scala
Experience using popular data science libraries (i.

e.

scikit-learn, Spark ML, TensorFlow, etc.

)
Experience in Machine Learning, Forecasting and Optimization techniques, find right data and solve problems
Experience in translating Data Science outputs and presenti

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