Remote Data Jobs • US

We are seeking a visionary Lead Data Engineer to spearhead our efforts in harnessing the power of data to fuel our next growth phase. This role will focus on establishing and maintaining best-in-class data practices, including consistent data modeling, visualization, lineage, and quality. The successful candidate will play a key role in shaping our data strategy, fostering a data-driven culture, and ensuring that our data assets are leveraged effectively.

As a Staff Data Scientist at Kard, you’ll lead development of advanced personalization, optimization, and measurement systems at the heart of our platform. You will apply deep expertise in statistical modeling, experimentation, and machine learning to improve loyalty campaign performance and user experience. This impactful role spans experimentation frameworks, causal inference, and applied ML, contributing to both platform capabilities and strategic decisions.

This position supports the Readiness & Employment System contract, working towards creating training data. The Data Analyst develops, creates, transforms, and models data. Provides support on system data and business rules to support creation of new or enhanced information. Performs data validation to assure data quality within new and enhanced databases.

In this role, you'll have the opportunity to leverage data to identify product and business opportunities and drive decision making. At Found, you won’t just answer “what happened”, you’ll be responsible for pointing the way and rallying others around what we should do next. We’re looking for someone who’s naturally curious and proactive and who is excited to dive in and immediately play a critical role impacting company-level strategic priorities.

The Data Analytics and AI position involves business intelligence and analytics solutions, meeting needs from basic data integration and business analytics to AI and machine learning tools including data science platform design, big data architecture and data visualization. The role also includes using statistical modeling, robotic process automation (RPA) and algorithm development in Machine learning (ML) and natural language processing (NLP).

Focused on designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines.

We are seeking a skilled Senior Analytics Engineer (K12) to join our dynamic team, responsible for building and maintaining integrations, automating data workflows, and ensuring data accuracy and availability across educational platforms. You’ll play a key role in supporting school operations.

As Principal Statistical Programmer Consultant, participate in CRF design, database review, data management plan, data review, and data validation procedures. You will produce data listings, summary tables, and graphics for analyses, integrate data across studies, and validate programs according to guidelines. This role involves collaboration with Biometrics functions and execution of ad-hoc requests for clinical trial data analyses.

Seeking a skilled Lead Statistical Programmer to join the Medical Affairs team, ideal for a senior programmer who enjoys study ownership and hands-on coding. You will support Phase IV, observational, and HEOR studies contributing to scientific publications, value dossiers, and post-marketing safety analyses.

The Principal R Programmer Consultant will lead and support all statistical programming activities aligned with project strategies. They will use R to create high-quality clinical deliverables and validate outputs using SAS, ensuring integrity and compliance across all submissions. This role demands high technical skill, strong clinical domain knowledge, and the ability to operate independently.