Shape the future of AI as a Bengali language expert. You will challenge advanced language models on topics like dialectal variation, formal versus colloquial language, Bengali script, translation accuracy, semantic ambiguity, and cultural context—documenting every failure mode so we can harden model reasoning. Converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
Take ownership of the intelligence layer of our platform. In this high-impact role, you’ll work across structured and unstructured healthcare data to power the next generation of automation, insights, and patient experience in infusion therapy. You’ll be a cross-functional partner helping us turn data into action and bottlenecks into breakthroughs.
The Data Engineer will service existing products with enhancements, bug fixes and updates while also creating new analytics products at the request of the PO. The role operates in an Agile environment that continuously deploys code and requires a solid understanding of the full software lifecycle.
Serve as the principal architect and subject-matter expert for the experimentation platform’s statistical engine. Design, implement, and optimize advanced statistical methodologies that underpin how we measure, learn, and innovate through experimentation. Conduct hands-on analysis of current and historical experiments to uncover insights, reduce noise, and continually improve our approach to causal inference.
Design, build, and deploy next generation AI-driven tools for market research, working at the intersection of data science and AI engineering. Develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. Build applications to simplify analytics and improve the efficiency of data processing. Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
This role is for a versatile generalist with both business savvy and technical expertise. You will assume key responsibilities across every department—from operations to product development—with significant leadership potential. You will use SQL, Excel, and analytics tools to extract insights and monitor key performance metrics to drive projects from ideation through execution, ensuring decisions are data-driven.
This is a highly technical, hands-on role for an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts. You’ll build causal models, apply advanced machine learning techniques, and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions.
Play a key role in enabling and supporting everyone at Monzo to keep customers at the heart of our product by doing user research effectively and safely. Drive training for non-researchers who are starting out on doing research themselves, supporting them to feel confident in their approach. Onboard new researchers into research processes and optimize the research tool stack. Champion innovation and experimentation to keep the research team on the forefront of changes in the industry.
🦅 US
🏖️Unlimited PTO👶14w maternity👨👧14w paternity
As our Senior Data Engineer, you'll lead the creation and execution of our data models and strategies that feed our product. You'll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and API strategies and approaches. You will own data sourcing pipelines, design and implement ETL solutions, and drive operational efficiency.
The AvaCloud team is responsible for simplifying the process of launching the next wave of technology enabled businesses that leverage blockchain-native tooling on Avalanche. This role will be an integral part in launching and maintaining web3 applications by ensuring efficient, reliable, and scalable data solutions to our clients, in addition to supporting data management needs for business operations.