Top Senior Machine Learning Jobs in Providence, RI

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Administer and analyze health, welfare, retirement, and leave programs across US, Canada, and LATAM. Manage enrollments, renewals, open enrollment, compliance filings, vendor and broker relationships, benefits reporting, and employee communications while driving cost-saving and compliance initiatives.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead manager enablement and AI-native learning programs across Coinbase. Own end-to-end manager onboarding, design AI-driven interventions, facilitate live and self-service learning, partner with HR teams, set success metrics, and consult on cross-functional content to drive measurable behavior change and scale.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Lead and deliver GenAI projects from research to production, collaborating with engineering and business partners. Design LLM-based solutions, drive multiple initiatives, mentor team members, present results to stakeholders, and realize measurable business impact.

Design and implement analytics solutions and predictive models using large healthcare data sources. Develop data pipelines, apply ML/NLP, evaluate models, visualize results, and support deployment across channels.

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

Provide technical pre-sales support for SailPoint, managing proof-of-concept processes, architecting solutions, and developing custom code for identity management.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

Design and deploy analytics and ML solutions: build data platforms, develop predictive models and pipelines, analyze structured/unstructured data, create visualizations and reports, collaborate with business partners, validate and document algorithms, and support large-scale data science initiatives.

Design and implement analytics solutions and predictive models on large healthcare, retail, and PBM datasets. Build ETL and data models, perform data mining, NLP, and machine learning, develop and deploy production code and backend services, create visualizations and reports, evaluate models, and support deployment across channels within Agile/SAFe teams.

Develop and implement analytics applications and predictive models using ML, NLP, and statistical methods on large healthcare datasets. Design data architectures, pipelines, and deploy models in cloud environments. Produce visualizations and reports to inform pharmacy, medical cost, risk scoring, and customer engagement solutions, ensuring data privacy and interoperability.

Design and deliver predictive analytics and ML solutions to improve customer engagement and experience. Perform ad-hoc analyses (SQL, Tableau, Excel), build statistical and NLP models, partner with stakeholders and engineering to deploy data solutions, and evaluate/optimize multi-channel campaigns.

Design and implement analytics solutions and predictive models using large healthcare datasets. Apply NLP, machine learning, statistical analysis, and data modeling to inform pharmacy, clinical, and customer-engagement use cases. Profile and ingest data from multiple sources, visualize results, compare model performance, and support deployment of insights across channels.

Design and develop scalable data solutions and ETL pipelines ingesting healthcare and retail data; build predictive models and statistical analyses; support deployment of insights across channels; collaborate on backend services, DevOps, and cloud cluster management to solve complex business problems.

Design, develop, and maintain software applications and platforms supporting digital health solutions. Analyze user needs, produce technical designs, write and review code, perform unit/automation testing, deploy services, support databases and healthcare-related applications, participate in Agile/Scrum and CI/CD, mentor junior engineers, and contribute to data analytics and machine learning initiatives.

Design and deliver data-driven analytic solutions and models for healthcare initiatives. Perform large-scale data analysis, predictive modeling, ETL and data warehousing, create reports/visualizations, and present findings to stakeholders to inform program design and evaluation.

Build and deploy predictive models and statistical analyses on large healthcare and retail datasets. Design ETL and data models, extract and manipulate multi-source data, develop algorithms, and support deployment of ML solutions across cloud environments and business use cases.

Design and implement analytics solutions and predictive models using ML, NLP, and statistical methods on large healthcare and retail datasets. Profile and ingest data, perform feature engineering, train and evaluate models, visualize results, and support deployment across channels to inform pharmacy, medical cost, risk scoring, and customer engagement initiatives.