As Senior Manager, Data Science at Rockerbox, you will lead and scale our data science team while also contributing as a hands-on practitioner. This role balances leadership responsibilities with direct execution in feature development for testing, MMM, and multi-touch attribution (MTA). You will drive the strategic evolution of our data science initiatives, mentor a team, and ensure that our methodologies remain cutting-edge.
Work on embedding latent representations of entities across our platform, specifically embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
Apply data science to human capital, building models and research that decode organizational behavior and shape talent strategy. This role includes predicting and enhancing talent acquisition, development, and retention, quantifying and elevating employee experience, optimizing team performance, maximizing productivity and rethinking how talent is measured. Leverage structured problem solving approaches and data science skills to deliver high impact solutions.
As a Senior Data Scientist, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. Working with engineers, data scientists, and research scientists, you'll uncover valuable information to detect, prevent, and mitigate cryptocurrency fraud and financial crime. The models you create will identify new threat vectors unique to cryptocurrencies and blockchains, and will be consumed by prestigious entities and law enforcement agencies.
Play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency.
Seeking a Senior Intelligence Engineer passionate about helping customers build AI/ML solutions at scale. As an experienced technologist, you will work directly with customers as part of a delivery team, enabling innovation by creating state of the art Machine Learning solutions that align to business goals. Responsibilities include being a hands-on Machine Learning engineer on customer engagements.
Join our client's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. You’ll use your knowledge of field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geological concepts. This is a unique opportunity to influence cutting-edge AI technology while working with passionate professionals in a fully remote setting.
There are three subject areas to choose from for your thesis: Development and training of an ML Model to parse industry-specific documents as entrypoint for an RAG pipeline; Development of custom parsing and chunking tools for industry-specific documents and their ingestion into a vector database; Training and/or fine-tuning of a custom LLM model for use-case specific usages within the scope of smart hydraulic services.
AG1 is looking for a Data Scientist with a strong foundation in experimentation and machine learning to join their growing Data Science & Analytics team. This role will work across the full spectrum of applied data science, from shaping hypotheses and designing A/B tests, to building models and tools that scale the impact of insights. The Data Scientist will play a key part in surfacing actionable insights that drive customer acquisition, retention, lifetime value, and operational efficiency.
This role involves collaborating to enhance Sift’s data science, ML Ops, and advanced analytics infrastructure, techniques, and practices. The Lead Data Scientist will improve and enhance Sift’s suite of predictive models and operations that work to solve complex healthcare payment problems, present findings to upper management, and mentor team members.