Develops and analyzes research data using statistical methods, assisting researchers with study protocols and computer analyses.
Manages computer systems, writes programs, and trains others in their use, providing statistical expertise in study design and data analysis.
Consults with investigators to determine research questions, performs appropriate statistical analyses, and documents methods and results in reports.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. It is a large institution with a diverse academic community, committed to equal opportunity and affirmative action.
Analyze player behavior across the full lifecycle to improve engagement, retention, monetization, and player experience.
Design and evaluate A/B tests, measure game feature impact, and build dashboards for stakeholders.
Use advanced SQL, Python, and BI tools to translate complex data into clear recommendations.
This position is listed on behalf of a partner company, which manages all applications and next steps. The environment is fast-paced and international, offering significant ownership and flexibility within a remote-first team.
Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Create and maintain analytical dashboards and management reports to support business decisions.
Perform data modeling, cleansing, and integration from multiple sources, and conduct exploratory and predictive analyses.
Collaborate with stakeholders to translate business needs into analytical solutions, define KPIs, and automate processes with Generative AI.
This company is hiring a mid-level data analyst to support business decisions through data analysis and reporting. It operates in a data-driven environment where analytical thinking and innovation are valued, and offers a fully remote work model.
Source high-quality public PDF documents in your designated language from online archives and public records.
Verify document legality, licensing, and quality compliance before submission.
Provide descriptive metadata and follow project guidelines to ensure submission accuracy.
This company develops AI language technologies through human-sourced data. It offers remote contract opportunities with a flexible, asynchronous work culture.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Design logical and physical data models for unstructured and semi-structured content.
Establish metadata standards and tagging taxonomies for consistent classification across knowledge sources.
Partner with data engineers to ensure ingestion and storage patterns align to the modeled domain structure.
We are a Digital Product Engineering company that builds products, services, and experiences. We have 18,000+ experts across 40 countries with a dynamic and non-hierarchical culture.