Senior Data Scientist, AI Analytics

The Senior Data Scientist, AI Analytics develops predictive modeling and generative AI frameworks to solve operational inefficiencies across business domains. This role executes the translation of complex datasets into resilient production machine learning pipelines and algorithmic solutions that enhance customer lifetime value and retention. Key challenges center on standardizing model reproducibility, monitoring algorithmic drift across production environments, and supporting automated compliance workflows. Success requires applying statistical theory to inform business decisions, delivering operational efficiency, and driving continuous technological innovation.

• Partner with operational and engineering leaders to establish machine learning roadmaps that align with enterprise OKRs and product objectives
• Design, deploy, and maintain scalable production machine learning systems for customer segmentation, predictive churn mitigation, and lifetime value optimization
• Implement and scale generative AI initiatives by engineering robust LLM-assisted workflows for automated multi-channel transcript analysis and real-time compliance auditing
• Establish automated data science pipelines across enterprise cloud infrastructures to support model reproducibility, auditability, and continuous delivery
• Leverage AI developer tooling and automated monitoring frameworks to optimize model training efficiency, track pipeline latency, and streamline deployment cycles
• Translate complex model outputs into analytical dashboards and actionable recommendations that inform operational decisions across core business units

• Proven capability in designing, deploying, and maintaining production-grade predictive machine learning models, including classification, regression, and time-series forecasting
• Applied AI proficiency in prompt engineering, model validation, and deployment of large language models within production environments
• Strong technical capabilities in Python, Scala, and SQL, coupled with hands-on proficiency in machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Ability to design and optimize distributed data science pipelines within enterprise cloud platforms such as AWS, Databricks, or Snowflake
• Deep expertise in experimental design, causal inference, and rigorous A/B testing methodologies to validate algorithmic impact against critical business metrics
• Collaborative problem-solving and communication skills to convey statistical findings and technical roadmaps to cross-functional stakeholders and leadership

Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements:

• Minimum Education: Bachelor’s Degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
• Minimum Experience: 4 years of experience in data science and applied machine learning
• Required Technical Skills: Must have at least 4 years of experience with:
• Python, Scala, and SQL
• Machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
• Cloud-based AI and data platforms such as AWS, Databricks, or Snowflake
• Unstructured data processing for natural language processing (NLP) or generative AI workflows

Visa sponsorship not available for this role

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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.

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.

We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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.
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