Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.

Job Duties And Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

The Data Scientist I solves the critical challenge of translating vast volumes of technical operation logs and system metrics into actionable narratives that reflect the actual customer experience for Sling and DISH TV. This role addresses the need for better observability by operationalizing AI and machine learning capabilities to monitor predictive health and identify system friction. By bridging the gap between raw data and product stability, the individual ensures that operational improvements are driven by clear, data-backed insights rather than anecdotal evidence.

What Success Looks Like (Objectives)

Refinement of key performance indicators through the maintenance of AI/ML frameworks that aggregate system logs for predictive health monitoring
Visualization of deployed AI/ML model performance via sophisticated Tableau dashboards that provide stakeholders with transparent and accurate insights
Implementation of optimized data workflows to eliminate bottlenecks and ensure seamless scalability for model training and deployment
Translation of complex machine learning outputs into clear business summaries that drive strategic product and operational improvements
Execution of data-driven investigations using anomaly detection to surface and address immediate friction points in the customer journey

Skills, Experience And Requirements

Core Skills and Competencies (What you’ll bring)

Foundational expertise in data analysis used to identify workflow improvements and ensure data transparency for large-scale model deployment
Practical experience applying predictive analytics and basic AI methods, such as anomaly detection, to solve real-world operational challenges
Proficiency in Tableau for designing dashboards that visualize the tangible outcomes of machine learning initiatives
Strategic AI application skills to operationalize advanced capabilities across a diverse technical operations ecosystem
Adeptness at cross-functional communication, specifically the ability to prepare data narratives for both technical and non-technical stakeholders

Minimum Requirements

Minimum Education: Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum Experience: 0-2 years of experience in Data Analysis or Technical Operations

Required Technical Skills: Must have experience with:

Tableau Dashboard Design
Predictive Analytics tools
System Log Aggregation Frameworks
Foundational Python or SQL for data workflow management

Visa sponsorship not available for this role

Salary Ranges

Compensation: $72,400.00/Year - $103,400.00/Year

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: EchoStar Benefits.

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. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

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.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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Data Scientist I