Remote Data Jobs · US

Play a hands-on role in shaping the next generation of Liquid Foundation Models (LFMs). Your work will involve data curation, cleaning, augmentation, and synthetic data generation. You will also analyze model failure modes to identify and close data gaps, design and implement pipelines for generating and validating training datasets, and fine-tune models.

We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains. You’ll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.

The data team turns raw on-chain activity into trustworthy and reusable datasets, and you will sit at the intersection of protocol mechanics, SQL modeling, and transformation tooling. You will work closely with data engineers and product managers to standardize how key on-chain concepts are represented across chains and protocols, so analysts and developers can build reliably on top of them.

As a member of the analytics team, you will bring order to vast amounts of internal and external data so OnePay can make better data-driven business decisions, faster. You will work cross-functionally to define the problem at-hand, create a framework to break it down, leverage data to enable optimal decision-making, and extend proposals that advance both the business and provide a better experience for our customers.

Play a key role in designing, developing, and maintaining high-performance data platforms and AI-integrated solutions. Lead by example, writing production-grade code, mentoring team members, and driving technical excellence across an empowered Scrum team. Work will directly influence the delivery of scalable, distributed systems that process large volumes of real-time data.

Adswerve is seeking a Data Scientist to join the Technical Services team to solve complex data-related challenges for some of the biggest brands in the world. The work involves solving client problems with data engineering and data science solutions, applying marketing segmentation, and propensity modeling to surface insights out of marketing data warehouses.

Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights. Design and run robust experiments, both quickly in toy scenarios and at scale in large models. Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results. Work with colleagues to communicate results internally and publicly.

The Senior Data Analytics Specialist will support current and future opportunities on high-priority projects for a large Federal agency. This role focuses on supporting external customers with analyzing current data and reporting needs, developing technical solutions using Power BI, implementing and testing technical reporting solutions, and supporting end users with reports.

Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.

A Survey Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focus on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data and are comfortable working in a fast paced, production-oriented environment.