Senior Data Scientist, Medical Imaging

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public and proprietary trade data (shipments, customs filings, trade documents), and build the models and AI agents that turn it into real-time decisions on risk, compliance and enforcement for governments and the world's largest companies. Your Responsibilities Drive the technical direction for agentic systems. Define the architecture and roadmap for the models and agentic systems that process trade data as it arrives (shipments, customs declarations, invoices, bills of lading) and turn it into risk, classification and compliance decisions in real time. Build the pipeline from ingestion to decision. Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models, at the scale of global trade. Adapt models to trade. Use analyst feedback, production outcomes and agent traces to fine-tune and post-train models (SFT, DPO, RL with domain graders) where it measurably beats prompting, and keep every model improving over time. Design the observability and feedback stack. Build the evals, tracing and feedback loops that decide what ships and catch regressions in production. Lead beyond your team. Mentor senior engineers, raise the technical bar across Engineering, and help shape how we hire and level ML talent. Shape the product and the business. Work with software engineers, data scientists, product managers and customers to generate new business ideas and turn ambiguous problems into shipped capabilities. About You BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experi

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public and proprietary trade data (shipments, customs filings, trade documents), and build the models and AI agents that turn it into real-time decisions on risk, compliance and enforcement for governments and the world's largest companies. Your Responsibilities Drive the technical direction for agentic systems. Define the architecture and roadmap for the models and agentic systems that process trade data as it arrives (shipments, customs declarations, invoices, bills of lading) and turn it into risk, classification and compliance decisions in real time. Build the pipeline from ingestion to decision. Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models, at the scale of global trade. Adapt models to trade. Use analyst feedback, production outcomes and agent traces to fine-tune and post-train models (SFT, DPO, RL with domain graders) where it measurably beats prompting, and keep every model improving over time. Design the observability and feedback stack. Build the evals, tracing and feedback loops that decide what ships and catch regressions in production. Lead beyond your team. Mentor senior engineers, raise the technical bar across Engineering, and help shape how we hire and level ML talent. Shape the product and the business. Work with software engineers, data scientists, product managers and customers to generate new business ideas and turn ambiguous problems into shipped capabilities. About You BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience 8+

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) t

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Customer Success Data & Analytics (CSDA) team sets the standards for how data is used across Customer Success, building the foundational data and tooling that help CS deliver a better, more efficient customer experience. With a data engineering team rebuilding the CS data model and an Applied AI & Data Science lead embedded on the team, we’re building what analytics looks like in the AI era. As Senior Manager, Customer Success & Experience Analytics, you’ll be the analytics partner to CS leadership, shaping how the organization understands its performance and its customers, with a focus on customer experience and enablement. Reporting to the Senior Director of CS Data & Analytics, you’ll lead two analysts and bring a holistic customer view by connecting data across Care, Onboarding, Enablement, and Product. This role is ideal for a player-coach who is energized by ambiguous problems, works iteratively, and isn’t only one kind of data person. Their home base is analytics, with a real interest in data science and analytics engineering. They don’t need to be an expert in either, just passionate about expanding their knowledge, something AI tools now put within reach for anyone. This role will work hybrid 2 days / week out of our Boston office. A day in the life (Responsibilities) Run the Customer Success Business Review: Own the tools and mechanisms behind the weekly review, driving rigorous but efficient inspection of key business indicators and hosting insightful discussions with business owners about their successes and challenges. Lead Analytics for Customer Experience & Voice of the Customer: Be a major contributor to the CX and VOC programs by owning the analytics behind them: the reporting, insights, and recommendations that help the business

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position The Data Governance Associate Director/Director is a critical member of the Quality Governance team, with a primary focus on data governance and AI oversight across Formation Bio's R&D organization. This role serves as Process Owner for R&D Data and Records Integrity and as Business Owner for key quality technology systems (Veeva Quality Docs, DocuSign Part 11), and owns the organization's inventory of R&D data and AI applications, along with their associated risk assessments. Reporting directly to the Head of Quality with no inte

The People Analytics Team at Datadog uses data to help our growing organization make better people decisions. We're expanding our workforce planning capabilities to support how we grow and structure our teams. In this role, you'll help build and maintain the data foundation behind our headcount and capacity models, partnering with FP&A, Recruiting, and PBPs to keep workforce planning grounded in clean, trustworthy data. At Datadog, we place value in our office culture – the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Automate and expand Datadog’s headcount-driven capacity modeling, improving the underlying data pipelines and insights that they surface Build and maintain data models covering headcount, positions, and hiring pacing, keeping them accurate as business context changes Own the position data audit process, establishing and maintaining a source of truth for open, filled, and planned positions across the business Support workforce forecasts by analyzing attrition, mobility, hiring, and promotion trends in partnership with the broader People Analytics Insights team Partner with our People Tech teams (HRIS, Recruiting Ops, developers) to shape the headcount management tech roadmap, driving for infrastructure and tooling that reduces friction and unlocks better data Serve as a point of contact for stakeholder questions on workforce planning data, handling day-to-day communications and support requests Contribute to the overall maturity of workforce planning at Datadog by improving how data is sourced, modeled, and shared Run external benchmarking analyses to inform headcount planning by researching labor market data, translating it into internal-ready insights, and publishing findings for stakeholders Who You Are: 5+ years of experience in workforce planning, people analytics, FP&A, or