Position: Data Science Engineer

Location: Denver, CO(Onsite Day 1)

Type: Contract

 

Job Description:

 

Note - Need Telecom background profiles

 

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.


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
Deliver solutions, features using agile delivery methodologies  

Skills, Experience and Requirements

 


3+ years of hands-on Data Science development experience
Strong coding experience in Python, Scala, and SQL
Experience using popular data science libraries (i.e. scikit-learn, Spark
ML, TensorFlow, etc.)
Ability to explain machine learning techniques, find right data and solve
problems
Proficient with creating data visualization (i.e. Matplotlib, Seaborn, etc.)
Experience working with project management and Agile mentality
Knowledge and experience with TDD, CI/CD, cloud native and 12 Factor Apps
Experience working with containerization platforms (Docker, Kubernetes)
Strong understanding of data science algorithms including classification,
forecasting and deep neural networks
Experience in cloud technologies (like AWS) and data analytics platforms
Experience in working with Big Data structured and unstructured
Degree in Statistics, Mathematics, Computer Science, or Information
Technology or equivalent professional experience (Master?s degree is preferred)
Experience building fully automated, configuration driven, extensible
solutions
Excellent written/verbal communication skills
Strong analytical, problem-solving and conflict resolution skills
Ability to adapt and deep dive into new technologies
Strong desire to learn new things and continually improve  


Reference : Data Science Engineer jobs

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