Conduct high-complexity analysis for the Embedded Channel, using advanced statistical techniques and synthesizing data from diverse sources to drive growth.
Manage complex projects and build analytic tools to improve business outcomes, with close collaboration with product teams and senior leadership.
Present findings and recommendations to senior leadership that impact profitability, growth, and customer satisfaction.
Liberty Mutual is an insurance provider that offers a quoting experience hosted directly on partner websites. The company fosters an inclusive workplace with comprehensive benefits and professional development, and values diverse perspectives through employee resource groups.
Train and evaluate AI models on complex financial institutions, regulatory, and risk-management topics.
Assess model responses for factual accuracy, financial logic, and regulatory interpretation.
Produce clear error traces and structured feedback to improve AI performance.
This company specializes in AI training projects for financial institutions, offering flexible freelance opportunities. It operates with a small remote team and provides a fully remote work environment.
Play a key role in expanding the spatial biology platform and service offerings by designing and optimizing targeted in situ transcriptomics panels.
Develop computational methods, software tools, and analysis pipelines for spatial transcriptomics and multiomics data.
Collaborate with R&D teams to improve probe performance and enable biological interpretation from spatial data.
Singular Genomics invents at the forefront of genomics, developing the G4 Sequencing Platform and G4X Spatial Sequencer. They foster a culture of creativity and technical excellence, celebrating diversity and collaboration as they rapidly mature.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Manage contracts, proposals, and payments for external partners and professors.
Collect, organize, and analyze operational data to support business decisions.
Identify opportunities to automate and streamline processes using AI tools.
The partner company operates in the education sector, focusing on dynamic learning environments. It fosters a collaborative culture that emphasizes operational efficiency and data-driven decision-making.
Listen to recorded audio files in the target language and transcribe conversations accurately.
Follow formatting and transcription guidelines, review and correct errors.
Complete assigned tasks within deadlines and maintain confidentiality of materials.
We are a field data collection company founded in 2017 in Europe. Our teams support projects involving speech recording, transcription, image and video collection, mapping, and AI training across Europe and North America.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Own and evolve the product metrics framework, ensuring consistent definitions and reliable dashboards.
Design and analyze A/B tests, investigating anomalies and conversion bottlenecks to guide product decisions.
Translate complex datasets into actionable recommendations, improving data quality and experimentation practices.
This company leverages data analytics and experimentation to guide product strategy. It operates with a remote-first, international team and values rigorous analysis and cross-functional collaboration.
Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.