Top Remote Senior Level Data & Analytics Jobs in Boston, MA

The Staff ML Generative AI Scientist will be responsible for designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms for healthcare applications. This role involves collaborating with cross-functional teams, conducting research, designing and developing AI models, evaluating their performance, and translating findings into practical solutions. The ideal candidate should have expertise in generative AI, healthcare, and experience in model design and evaluation.

Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Grow, lead, and mentor a team. Partner with product leaders to incorporate ML/AI into new features and existing products. Stay updated on latest AI techniques and contribute to overall ML and AI strategy at Cash App.

Machine Learning Engineer role at Cash App focusing on building ML models for fraud detection, customer support automation, and underwriting/credit evaluation. The team operates at a massive scale using AI to understand customers and offer new products. Role involves working with state-of-the-art algorithms, NLP, OCR, and biometric signals.

The Senior Business Process Analyst role at Cohere Health involves supporting strategy, process design, planning, implementation, and management of new programs within the Client Experience team. Responsibilities include scoping current processes with clients, developing future state solutions, driving process improvement, creating process documentation, and leading cross-functional work types.

Seeking a highly skilled Director of Data & Analytics to lead the build-out of data product suite, manage data pipelines, and create scalable data models for actionable insights. Must have experience in team management, data architecture, and driving strategic insights for business growth.

Seeking an E-Commerce Business Analyst with 5-7 years of experience in e-commerce or retail analytics. Responsibilities include driving revenue and profit growth through data insights, supporting strategic initiatives, and collaborating with business partners.

The Senior Analytics Engineer - Data Ops at Pluralsight will be responsible for building and maintaining production data pipelines, developing tooling for data practitioners, improving data environment observability and maintainability, and automating processes. Requires 5+ years of multidisciplinary data operations experience and expertise with various data warehousing technologies and orchestration tools.

Join our Risk Data Science and Analytics Team to improve risk controls using statistical and analytical techniques. Lead experiments to prevent fraud and impact success metrics by developing machine learning solutions. Partner with cross-functional teams to influence product roadmaps and procedures. Must have 8+ years of experience and expertise in SQL, Python, Looker, statistics, and machine learning.