Staff Data Scientist - AI Products
US-CO-Englewood
Attract-careers1
Req #: 97536
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. As a Staff Data Scientist in our AI Office, you will bridge the gap between complex data science and tangible business outcomes. You are responsible for solving the challenge of identifying high-impact AI opportunities and determining their feasibility within our vast data ecosystem. By transforming large-scale structured and unstructured data into production-grade GenAI and machine learning solutions, you will ensure our AI products drive measurable value for our customers and the mission. What Success Looks Like (Objectives) * Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes * Deliver production-ready machine learning models for customer segmentation, churn prediction, and lifetime value estimation to directly impact department OKRs * Architect and deploy GenAI and LLM solutions that automate complex workflows, such as transcript analysis and compliance validation, using cutting-edge AI applications * Lead the transformation of large-scale structured and unstructured data into actionable insights that inform product strategy and user modeling * Collaborate with cross-functional teams to build scalable, cloud-based solutions while providing technical mentorship to elevate the team's collective expertise * Master the art of storytelling by communicating complex models and findings to both technical and non-technical audiences via intuitive dashboards and presentations Qualifications: Core Skills and Competencies (What you'll bring) * You don't just design models; you champion them by balancing immediate feature requests against long-term technical health and the elimination of technical debt in production environments * Expert-level mastery of statistical modeling and machine learning-including regression, clustering, and neural networks-with the ability to design and analyze rigorous A/B tests and controlled experiments * Advanced proficiency in building and deploying LLM-based solutions, demonstrating a deep understanding of prompt engineering and the management of unstructured data (text and images) * Skilled in Python and SQL for building robust data pipelines and preprocessing large-scale datasets using big data tools like Spark, BigQuery, or Redshift * A proven ability to analyze ambiguous information, make rational judgments regarding model architecture, and take responsibility for the results in a fast-paced environment * Strong ability to build working relationships across teams to achieve shared goals, while utilizing enterprise platforms like AWS, Databricks, or Dataiku to maintain ML systems * Excellence in writing clearly and succinctly for diverse audiences, ensuring that technical findings are translated into an inspiring vision for stakeholders Additional Qualifications * Experience with enterprise-level AI governance and compliance * Familiarity with emerging trends in multimodal AI and agentic workflows Minimum Requirements * Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field * 6+ years of experience in data science and applied machine learning with a proven track record of delivering business impact * Must have at least 6 years of experience with: * Python and SQL for data science and pipeline development * AWS or similar cloud-based enterprise platforms (Databricks, Dataiku) * Big Data tools such as Spark, BigQuery, or Redshift
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