Data Scientist Lead

Key Skills

Java Programming, Python Programming, Database, SQL, AWS, SQL Server, Data Mining, Tableau, Teradata, Amazon Athena, R Programming, AWS Sagemaker, SAS, ETL frameworks

Job Description

Our marketing analytics team are experts on taking data and turning it into stories, leveraging insights to help the company make smarter decisions about how we innovate. Their work allows us to optimize performance and transform it into new subscriber acquisitions, helping DISH to continue to drive the future of entertainment and interactivity.

Job Duties and Responsibilities

The Marketing Analytics Lead will have a direct impact on growing the DISH business. This includes helping us optimize performance in current DISH subscriber acquisitions and in supporting new lines of business including DISH Outdoors, DISH Business, In-Home Services, and more as DISH continues to drive the future of entertainment and interactivity. We are looking for those with the capability and desire to position themselves and the DISH business for rapid growth.

 As part of the Marketing Analytics team, the Marketing Analytics Lead will be responsible for building campaign segmentation, program analysis and predictive analytics to support activities in the marketing organization. This can include using advanced statistical targeting models, participating in development and maintenance of analytic infrastructure, rigorous program analysis, creating and running advanced queries and reports, and performing customer analyses.

More duties that are detailed include:

• 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 both relational databases and flat-file sources.
• Build, test, and evaluate predictive models for campaign response, customer value, churn, product take-rate, and more.
• Partner with business/strategy owners to identify trends and opportunities
• Provide support for 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 a recommendation, using various tools like AWS, Teradata and SQL server.

Skills, Experience and Requirements

Education, Skills & Experience:

• MBA or MS in Statistics, Math or related fields OR Undergraduate degree in Economics, Statistics, Math, Computer Science or related fields and 3-4 years of relevant experience
• 3+years with SQL and database skills in Teradata, AWS, and/or SQL Server databases.
• At least 1 year of experience in R/Python/Amazon SageMaker/SAS or other complex analytical tool, Tableau or other data mining/visualization software
• Experience in predictive modeling (logistic regression, neural nets, decision trees, etc.) and proficiency in designing, implementing, and evaluating test designs including recommending test sizes, structure, and timing
• Experience with both technical and non-technical presentations of analytic results
• Ability to be flexible in a changing work environment; ability to work well under pressure; ability to execute aggressive deadlines under changing business dynamics. Strong attention to detail

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