Manager, Data Science and AI
US-CA-Foster City
Attract-careers1
Req #: 93954
Type: Fulltime-Regular
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Overview: 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. 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 and AI Products team at DISH drives innovation across satellite and wireless by applying machine learning, advanced analytics, and generative AI to real-world challenges. From churn prediction and customer lifetime value to LLM-powered automation, our work shapes strategy and product experiences. As Data Science & AI Manager, you'll lead a team of data scientists to develop, deploy, and improve predictive and generative AI solutions-mentoring talent, guiding execution, and partnering with business leaders to deliver measurable impact. Key Responsibilities: * Manage, mentor, and grow a team of ~6 senior and mid-level data scientists * Provide technical guidance on model design, experimentation, and code quality while fostering a culture of rigor, curiosity, and collaboration * Translate business needs into well-scoped data science problems and prioritize work to align with strategic goals * Lead the development and productionization of predictive (e.g., churn, CLV, segmentation) and generative AI solutions (e.g., transcript analysis, LLM agents) * Oversee the full model lifecycle-from data ingestion and feature engineering to deployment, monitoring, and responsible AI practices * Partner with product, engineering, and business leaders to define requirements, deliver value, and present insights to both executive and technical audiences Qualifications: Education and Experience: * Bachelor's or Master's in a quantitative field (e.g., Data Science, Computer Science, Engineering, Statistics, Physics) * 6+ years in applied data science or ML roles, including 2+ years managing or mentoring other data scientists * Hands-on experience with machine learning models (classification, regression, clustering, time series, etc.) and LLM/GenAI applications Skills and Qualifications: * Skilled in Python and SQL; familiarity with cloud environments (preferably AWS) * Experience with platforms such as Dataiku, Databricks, or SageMaker for scalable ML/AI workflows * Strong communication skills and the ability to lead through influence in cross-functional environments * Experience working in telecom, media, or subscription-based businesses * Familiarity with customer lifecycle analytics, personalization, or NLP on support interactions * Exposure to MLOps and model governance best practices
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