Lead Engineer Network Analytics

Company Summary
DISH Network Technologies India Pvt. Ltd is a technology subsidiary of EchoStar Corporation. Since 1980, the organisation has been at the forefront of technology, serving as a disruptive force and driving innovation and value on behalf of our customers.
Our Product Portfolio: Boost Mobile (consumer wireless), Boost Mobile Network (5G connectivity), DISH TV (Direct Broadcast Satellite), Sling TV (OTT), OnTech (Smart Home Services), Hughes (global satellite connectivity solutions) and Hughesnet (satellite internet).
Our facilities in India is one of EchoStar's largest development centers outside the US. As a hub for technological convergence, our engineering talent is a catalyst for innovation in multimedia network and communications development.
Department Summary
Boost Mobile is our cutting-edge, standalone 5G broadband network that covers over 268 million Americans and a brand under EchoStar Corporation (NASDAQ: SATS). Our mobile carrier's cloud-native O-RAN 5G network delivers lightning-fast speeds, reliability, and coverage on the latest 5G devices. Recently, Boost Mobile was named as the #1 Network in New York City, according to umlaut's latest study!
Job Duties and Responsibilities
This "Lead Engineer - Network Analytics" position is in the Network Data & Analytics (ND&A) team in the Network Development organization. ND&A is a broader Wireless Data Analytics and Science team intended to drive us towards best in Network Quality. This organization is the intelligence layer sitting amidst the organizations/teams that own lower level data and data consumers that take action based on data. Positioned uniquely, this organization interprets the end-to-end data across Network, Finance and other tertiary sources like Legal to draw innovative correlation to drive business decision making. The data insights provided by this organization are pivotal for ensuring resources, including finances are optimized in our network build, operationalization, management and enhancement.
Data scientists, engineers, analysts and other members of this organization are focused to drive the best Wireless experience for Subscribers and Enterprises.
Responsibilities
Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation and loading (ETL) from relational databases and flat-file sources
Build, test, and evaluate predictive models for campaign response, customer value, churn, product take-rates and more
Develop reporting, test plans, and campaign management structures for key marketing programs
Partner with strategy and product owners to identify trends and opportunities Support ad hoc analytical projects including customer-level analysis
Segmentation analysis, reporting, product affinity and customer profiling analysis; Work with unstructured data sets and cleanse that data to make business recommendations using various tools like AWS, Teradata and SQL server.
Leadership abilities - candidate must be able to lead a team of upto 10 Engineers with varied skillsets and background. He/she/they will need to be able to provide Technical Guidance and Project Manage the team. Chosen candidate will need to be a liaison between the Onshore and offshore teams.
Skills, Experience and Requirements
Ideal candidates will have:

• Undergraduate degree in statistics, math, computer science, engineering or related fields 5+ years of experience with SQL and database skills in Teradata, AWS, and/or SQL Server databases
• Proficiency in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software
• Experience in analyzing data and providing recommendations
• Ability to work effectively with cross-functional teams to perform planning and execution of initiatives

Desired skills / experience:

• MBA or Masters degree in statistics, math, Engineering or related fields of study
• Experience in predictive modeling (logistic regression, neural nets, decision trees, etc.), machine learning and proficiency in designing, implementing and evaluating test designs including recommending test sizes, structure and timing
• Experience with technical and non-technical presentations of analytic results

Benefits

• Employee Stock Purchase
• Term Insurance
• Accident Insurance
• Health Insurance
• Training Reimbursement
• Gratuity
• Mobile and Internet Reimbursement
• Team Outings