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Job Duties: 

• Archicture and create data driven solutions for DISH 5G telecom domain and drive business outcome using AI and ML and DOP data, provide expert knowledge in helping to launch 5 G network using data driven decisions..   
• Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala. 
• Work directly with application teams/partners (internal clients such as Xbox, Skype for Business, Microsoft Office 365) to understand their offerings/domain and get them successful with data so they can run controlled experiments (ab testing). 
• Design, build and support pipelines of data transformation, conversion, validation 
• Build data manipulation, processing, and data visualization tools and share these tools across the team, ASG, and AWS. 
• Leverage statistical and computational knowledge to build algorithms for calculating variances. 
• Apply data analysis, data mining and data engineering to present data clearly and develop experiments (A/B testing) 
• Ensure high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions. 
• Assist senior management in making key business decisions. 
• Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties. 
• Help business to build and create KPI driven reports and dashboards using tera bytes of 5 G network data. 
• Responsible for overseeing the data scientists team, machine learning engineers, and big data specialists 
• Teach, lead, and counsel colleagues on new techniques or solutions 
• Lead data mining and collection procedures based on data. 
• Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem 
• Responsible for the conception, planning, and prioritizing of data projects 
• Provide support to inexperienced analysts with high-level expertise in an open source language (e.g., R, Python, Julia, etc.) 
• Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms (e.g. XGBoost, H2Oai, Spark, Hadoop, etc.) 
• Lead Charter marketing data science team for innovative idea and solution for customer 360 

Education: The minimum qualification required for the performance of the above specialty occupation duties is a bachelor's degree or equivalent in Computer Science or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience.