Data Scientist II, AI Analytics

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.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

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

As a Data Scientist in AI Analytics, you will design sophisticated analytical frameworks and cutting-edge generative solutions that optimize the customer journey and streamline enterprise operations. By bridging the gap between complex data capabilities and tangible business value, you identify transformative opportunities for innovation across the organization. This role requires working at the intersection of engineering and strategy to translate high-dimensional insights into actionable roadmaps.

• Collaborate with operational stakeholders to implement targeted machine learning solutions that address defined project requirements.

• Deploy and maintain production machine learning models for customer segmentation, churn prediction, and lifetime value estimation within designated product components.

• Implement and support generative AI workflows using LLM-assisted tooling for automated transcript analysis and compliance validation.

• Build and maintain automated data science pipelines within existing cloud environments to support model reproducibility and team delivery.

• Translate model outcomes into analytical dashboards and standard reports to support operational decision-making within defined product domains.

• Practical experience delivering predictive machine learning models, including classification, regression, and time-series forecasting algorithms.

• Applied AI proficiency in prompt engineering, model validation, and deployment of large language models within production environments.

• Technical proficiency in Python, Scala, and SQL alongside hands-on application of standard machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

• Competency in cloud data environments such as AWS, Databricks, or Snowflake to manage data transformation and model pipeline execution.

• Rigorous background in experimental design, hypothesis testing, and A/B test evaluation to validate model performance against quantitative baselines.

• Collaborative problem-solving capabilities to translate statistical findings into clear visualizations and team documentation

• Minimum Education: Bachelor’s Degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
• Minimum Experience: 2+ years of experience in data science and applied machine learning
• Required Technical Skills:
• Python, Scala, and SQL.
• Machine learning libraries (Scikit-learn, TensorFlow, or PyTorch)
• Cloud-based AI platforms (AWS, Databricks, or Snowflake)
• Unstructured data processing for GenAI applications

Visa sponsorship not available for this role

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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 [email protected] 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)