Transform complex, unstructured career information into organized and localized datasets.
Apply structured frameworks to enhance data quality and consistency across global employment markets.
Collaborate with international teams to improve taxonomy processes and data classification models.
Jobgether is an AI-powered job matching platform that connects candidates with employers. The company uses technology to enable efficient and fair hiring processes for global roles.
Partner with business and product teams to translate open-ended problems into clear analytical questions and actionable recommendations.
Analyse customer journeys, funnels, engagement, and retention to identify growth opportunities.
Design and evaluate experiments with appropriate statistical and business context.
JumpCloud is the AI-powered unified IT management platform designed to secure the modern workforce. With teams in 15+ countries, they foster a remote-first culture focused on human connection and inclusivity.
Develop and implement data ingestion solutions using AWS database and cloud-native technologies.
Design, administer, and optimize relational and NoSQL database environments including Amazon RDS, DynamoDB, Redshift, Athena, and S3.
Design and implement indexing strategies, replication, backup, and disaster recovery solutions across multiple AWS Regions.
Peraton is a next-generation national security company that provides mission capability integration and transformative IT solutions to government agencies across all domains. With a focus on solving complex challenges, the company employs thousands dedicated to protecting national security interests worldwide.
Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
Mentor junior data scientists and drive best practices in experimentation and analytics.
Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.
Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.
Build and improve ML components across data, training, evaluation, and inference.
Implement evaluation and testing to understand model behavior.
Debug model issues, performance problems, and production incidents.
This company builds core ML components for large-scale production systems. They emphasize real-world learning, iteration, and collaboration with senior engineers.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Leverage AI-assisted data quality practices including GenAI-based rule generation, intelligent anomaly detection, and automated triage of data quality issues.
Develop and automate data quality checks using SQL and Python in Snowflake, implementing validation and reconciliation across batch and streaming pipelines.
Build reusable data quality automation components and mentor team members on best practices and AI-driven frameworks.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. It is led by top industry talent and physician leadership, consisting of scalable operations and end-to-end cloud-based technology.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.