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Data Scientist II, AI Analytics

EchoStar Corporation

Denver, CO • On-site

$100K - $136K/yr

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

EchoStar rating

7.1

Company rating: 7.1 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

64th of 99 rated telecommunications companies

Job description

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
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.
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.
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 while providing technical mentorship to peers.
What Success Looks Like (Objectives):
  • Partner with stakeholders to identify and execute high-impact AI opportunities that directly drive measurable business outcomes
  • Deliver production-grade machine learning models for customer segmentation, churn prediction, and lifetime value estimation to enhance user engagement
  • Design and deploy scalable GenAI and LLM solutions that automate complex enterprise workflows, such as transcript analysis and compliance validation
  • Build cloud-based data science pipelines on enterprise platforms to ensure the reliability and scalability of analytical products
  • Translate complex findings into clear narratives and interactive dashboards that guide executive decision-making
  • Foster technical growth across the team by mentoring peers in modern MLOps practices and data storytelling techniques

Skills, Experience and Requirements
Core Skills and Competencies (What you'll bring):
  • Critical experiences in applied machine learning, including a track record of delivering high-impact classification, regression, and time-series forecasting solutions
  • Advanced AI Application skills, specifically regarding prompt engineering, model evaluation, and the deployment of Large Language Models within production environments
  • Technical expertise in Python, Scala, and SQL alongside a deep understanding of modern ML libraries such as TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with cloud-native data platforms like AWS, Databricks, or Snowflake to manage large-scale data engineering and processing
  • Strong collaboration and data storytelling skills that allow for the communication of high-dimensional insights to diverse, non-technical audiences
  • Analytical mastery in designing and interpreting A/B tests and controlled experiments to validate model performance and business hypotheses
  • Familiarity with MLOps practices for monitoring and maintaining GenAI systems in production

Minimum Requirements:
  • Minimum Education: Bachelor's Degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
  • Minimum Experience: 3+ 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
#LI-JZ2
Salary Ranges
Compensation: $100,980.00/Year - $136,625.00/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 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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