The Senior Data Science Engineer is responsible for designing 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.
Responsibilities will vary, but ultimately include:
Provide subject matter expertise and technical leadership on Data Science
Partner with product, engineering and analytics teams to drive the use of Data Science across business
Develop an exceptional Data Science team
Work with business teams, define ROI & business value for data science products
Communicate AI/ML findings clearly and effectively to stakeholders
Build technical, product vision and long term plan for the data science team
Brainstorm ideas and execute proof-of-concepts and prototypes
Address technical concerns, ideas and suggestions
Assist in solving technical problems when they arise
Identify, evaluate and assess risks to mitigate them and eliminate issues that may hinder successful delivery of solutions
Monitor systems to ensure they meet the partner, user and business goals
Execute and deliver solutions, features using agile delivery methodologies
Skills, Experience and Requirements
5+ years as Data Analytics Lead with 3+ years as an Senior Data Science Engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc
8+ years of hands-on experience with development and delivery of secure, reliable and scalable data science solutions using agile methodologies
Proven track record of delivering projects from start to end
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
Excellent communication and presentation skills to translate insights, predictions and prescriptions from the models to business and executive stakeholders
Advanced degree with emphasis on analytics, machine learning or statistics