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.
Lead enterprise data and analytics strategy, ensuring alignment with long-term business objectives and organizational priorities.
Oversee data engineering, reporting, dashboards, semantic models, curated datasets, and analytics platforms to support informed decision-making.
Partner with business leaders and IT teams to identify high-value initiatives and deliver impactful data solutions.
Jobgether uses AI-powered matching to connect candidates with hiring companies, ensuring fast and fair application reviews. They process personal data for recruitment and may use AI tools to assist in hiring decisions.
Serve as the analytics thought partner to GMs, VPs of Product, and Marketing leadership, shaping roadmaps through data.
Own retention analytics across the subscription lifecycle, including cohort design and churn decomposition.
Lead the transition from MTA to MTI, including MMM validation and incrementality test design.
Hims & Hers is a leading health and wellness platform that redefines healthcare by providing accessible, affordable, and personal care. As a public company, they prioritize a culture of wellness, diversity, and a talent-first flexible/remote work approach.
Lead and mentor a high-performing data science team at the intersection of blockchain, intelligence, and machine learning.
Drive technical innovation across a diverse stack including Airflow, BigQuery, Kafka, and Python.
Collaborate cross-functionally to transform raw blockchain data into insights for TRM's products and customers.
TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. It is a Series C company with $220M in total funding, backed by Blockchain Capital and Goldman Sachs, operating as a distributed-first company.
Manage, maintain, and optimize SQL Server, Databricks, and document databases for performance, availability, and security.
Collaborate with software engineering to design and implement database structures and queries that meet application needs.
Conduct database migrations, upgrades, backups, recovery processes, and performance tuning.
eClinical Solutions transforms clinical development with elluminate®, a Clinical Data Cloud that helps life sciences organizations unify, analyze, and unlock data faster. The company has won Top Workplaces USA Award for Remote Work and focuses on a people-first culture with inclusive values.