Company:
DISH
Location: San Mateo
Closing Date: 02/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Company Summary:
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
Key Responsibilities:
Understand business requirements and priorities and work with stakeholders to identify high-impact, feasible roadmap areas. Collaborate with business teams and help them understand how data science methods can positively impact the business
Develop analyses and models such as customer segmentation, user modeling, churn analysis and prediction, and lifetime value prediction
Process large volumes of customer and device data to gain actionable insights and make data-driven decisions
Collaborate with other team members, including data scientists, engineers, and quality analysts, to help the team progress and achieve results. Provide technical guidance to other team members as needed
Help multiple audiences – engineers, product managers, executives – understand the analyses and models using notebooks (e.g. Rmd, Jupyter), visualizations, and presentations
Identify and adopt new techniques and tools to stay at the forefront of modern large-scale data processing, analysis, and machine learning capabilities
Skills, Experience and Requirements:
Education and Experience:
Strong academic background in statistics and machine learning – a Bachelor’s or Master’s degree in Math, Statistics, Computer Science, Physics or such quantitative fields or has done a program from a business school in marketing, analytics etc., with a focus on quantitative approaches
4+ years of experience related to data and data analysis. You have worked on a variety of complex data analysis and modeling problems and applied these techniques to real-world scenarios
Skills and Qualifications:
Proficiency with statistical and machine-learning tools: linear models for regression and classification, multilevel models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, etc.
Proficient in a programming language commonly used for data analysis (Python), and comfortable with SQL
Experience with business analytics problems: customer churn, lifetime value estimation, targeted marketing, personalized offers, etc.
Experience in designing and analyzing controlled experiments for targeted interventions
Preferred Qualifications:
Masters or Doctorate in relevant domain
Experience with database and data warehousing systems such as Amazon Athena and Redshift, BigQuery, and Teradata
Experience working with large data sets and big data processing tools such as Spark
Data engineering skills to do preprocessing, cleaning and transformations
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
Key Responsibilities:
Understand business requirements and priorities and work with stakeholders to identify high-impact, feasible roadmap areas. Collaborate with business teams and help them understand how data science methods can positively impact the business
Develop analyses and models such as customer segmentation, user modeling, churn analysis and prediction, and lifetime value prediction
Process large volumes of customer and device data to gain actionable insights and make data-driven decisions
Collaborate with other team members, including data scientists, engineers, and quality analysts, to help the team progress and achieve results. Provide technical guidance to other team members as needed
Help multiple audiences – engineers, product managers, executives – understand the analyses and models using notebooks (e.g. Rmd, Jupyter), visualizations, and presentations
Identify and adopt new techniques and tools to stay at the forefront of modern large-scale data processing, analysis, and machine learning capabilities
Skills, Experience and Requirements:
Education and Experience:
Strong academic background in statistics and machine learning – a Bachelor’s or Master’s degree in Math, Statistics, Computer Science, Physics or such quantitative fields or has done a program from a business school in marketing, analytics etc., with a focus on quantitative approaches
4+ years of experience related to data and data analysis. You have worked on a variety of complex data analysis and modeling problems and applied these techniques to real-world scenarios
Skills and Qualifications:
Proficiency with statistical and machine-learning tools: linear models for regression and classification, multilevel models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, etc.
Proficient in a programming language commonly used for data analysis (Python), and comfortable with SQL
Experience with business analytics problems: customer churn, lifetime value estimation, targeted marketing, personalized offers, etc.
Experience in designing and analyzing controlled experiments for targeted interventions
Preferred Qualifications:
Masters or Doctorate in relevant domain
Experience with database and data warehousing systems such as Amazon Athena and Redshift, BigQuery, and Teradata
Experience working with large data sets and big data processing tools such as Spark
Data engineering skills to do preprocessing, cleaning and transformations
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
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