Senior Data Scientist

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. Drive the strategic evaluation and deployment of advanced AI architectures to solve complex multi-brand operational challenges through statistical rigor and predictive modeling. Design sophisticated agentic AI pipelines and governance frameworks that ensure model reliability across cloud-native and on-premises environments. Bridge the gap between raw data and business strategy by delivering high-fidelity simulations and benchmarks that directly improve subscriber growth and network efficiency. What Success Looks Like (Objectives)Optimize model performance and cost-efficiency by benchmarking trade-offs between cloud-native and on-premises execution pathways for large-scale deployments Lead the design and statistical validation of multi-agent architectures using LangGraph and AWS Bedrock to achieve autonomous provisioning and Level 4 autonomy Enhance network efficiency through the development of high-accuracy predictive models for churn, anomaly detection, and time-series forecasting Ensure model robustness and long-term validity by implementing automated experiment tracking, versioning, and drift detection via Databricks Unity Catalog Translate complex data science outputs into actionable executive scorecards that guide long-term business strategy and vendor RFI/RFP evaluations Maintain enterprise-wide model integrity by aligning federated AI governance with NIST AI RMF and TOGAF standards using Digital Twin policy simulations Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring)Advanced proficiency in AI innovation, specifically the application of agentic frameworks like LangChain or LangGraph to solve autonomous operation problems Strong expertise in machine learning development using Python, PyTorch, and TensorFlow to build models with high predictive power and statistical reliability Critical experience in LLM deployment strategies, including RAG optimization, fine-tuning, and performance inference across hybrid cloud environments Deep understanding of MLOps lifecycle management within modern data platforms like Databricks or SageMaker to ensure scalable model delivery Collaborative professional expertise in data storytelling, enabling the translation of complex quantitative findings into clear strategic recommendations for C-suite stakeholders Thorough knowledge of AI governance and responsible AI principles to mitigate model risk and ensure ethical data application Additional QualificationsFamiliarity with TM Forum ODA or telecom-specific data models Exposure to on-premises AI infrastructure, including GPU cluster provisioning or K8s platforms Background in knowledge graphs or enterprise search optimization Minimum RequirementsMinimum Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, Electrical Engineering, or a related quantitative field Minimum Experience: 5 years of experience in data science Required Technical Skills: Must have at least 2 years of experience with: Python (Scikit-learn, PyTorch, or TensorFlow) Databricks, Spark, or AWS (SageMaker/Bedrock) SQL and cloud-native orchestration (dbt or Airflow) Salary Ranges Compensation: $96,250.00/Year - $125,125.00/Year Benefits We offer versatile health perks, including flexible spending acc