Lead Data Scientist

🕒 Março 28

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American Public Education, Inc. (APEI)

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1991

📚 Educação

👥 B2C

Education • B2C

A American Public Education, Inc. (APEI) é um provedor de serviços de educação superior com fins lucrativos e orientado por uma missão, que oferece programas de graduação e certificados acessíveis e inovadores para adultos que trabalham, militares e veteranos, enfermeiros e outros profissionais. Por meio de suas subsidiárias integralmente controladas — American Public University System (American Public University e American Military University), Rasmussen University e Hondros College of Nursing — a APEI oferece educação online, presencial e no local de trabalho focada em programas orientados para a carreira e comunidades de serviço público. A empresa tem sede em Charles Town, West Virginia e enfatiza a acessibilidade e o apoio aos estudantes adultos e à comunidade militar.

Descrição

• Define the details of and execute the data science technical strategy, aligned to business objectives and overall data/analytics senior leadership vision and strategy. • Collaborate on the data science roadmap with data & analytics product management and stakeholders. • Mentor peer team members for effective delivery as well as to help build a high-performing data science and consultative business insights team. • Provide cross team technical reviews, thought partnership, and coaching. • Deliver effective and sustainable ML and GenAI products that drive measurable business value. • Lead cross domain programs that create reusable platforms, shared modeling components, and standardized evaluation frameworks. • Establish technical guardrails for modeling, feature engineering, experimentation, and MLOps across teams. • Design scalable ML/GenAI systems and reference designs, balancing performance, latency, cost, and compliance. • Review and approve models, ensuring rigor in causal inference, statistical methods, monitoring, and evaluation. • Introduce new methods and technologies when needed to unlock value or resolve domain‑level challenges. • Guide teams in designing robust experiments to measure outcomes and value. • Plan work and help with managing team capacity with data product owners/management. • Define MLOps strategy, including feature stores, observability, drift/performance monitoring, retraining policies, and rollback protocols. • Partner with engineering and platform teams to select tools, build roadmaps, and set SLAs for data quality, reliability, and model governance. • Ensure compliance with privacy, security, and Responsible AI requirements. • Establish ML platform governance for performance, cost optimization, and security compliance. • Partner with data platform team and solutions architects to solve data gaps or optimize data pipelines for advanced analytics. • Interacts, consults with and influences senior management at various levels of the organization, with various internal organizations (e.g. management, finance, marketing, academics, operations, legal). • Acts as liaison between the business operations and available data, working on various initiatives to maintain visibility and understanding of the data and decisions being made. • Promotes identification of best practices and fosters cross functional sharing of initiatives, innovation and best practices. • Performs other duties as assigned.

🎯 Requisitos

• 8+ years of experience in data science and machine learning with repeated large scale impact and increasing responsibility • 2+ years of experience leading development of AI/ML data products and systems • Bachelor of Science in Analytics, Computer Science, Mathematics, or equivalent with Masters in Data Science or related degree highly preferred • Deep expertise in machine learning and ML frameworks, applied mathematics, and statistics • Proven track record leading multi team initiatives, platform efforts, or domain level AI/ML strategies • Proven ability to evaluate models and systems for accuracy, fairness, scalability, and business value • Experience with MLOps • Experience optimizing lead funnel, developing forecasting models, and student retention optimization in the context of higher education is highly preferred • Experience with Agentic AI system design • Deep expertise in SQL and Python as well as ELT patterns and tooling • Strong expertise in data visualization to convey information effectively • Deep mastery of experimentation design and execution including A/B testing • Proven experience with cloud data and analytics platforms with Snowflake, Power BI, and Azure highly preferred • Strong problem solving and analytical skills alongside creative thinking and innovative approaches within a strategic and broad perspective • Broad conceptual judgment, initiative, and must possess theoretical thinking skills. • Track record of delivering large-scale, mission-critical AI/ML systems with measurable business impact • Exceptional stakeholder management and influence across business and technology • Excellent verbal and written communication skills, ability to communicate and influence effectively with all levels of the organization from analysts to C-Level executives.

🏖️ Benefícios

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events