• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Aug 2022

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