Design, build and evolve scalable ML and generative AI systems delivering measurable value in customer-facing and operational use cases.
Develop robust end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement of AI solutions in production.
Collaborate closely with product, engineering, data, and business stakeholders to bring AI capabilities into core digital healthcare systems and operations.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision.
Build, maintain, and operate data pipelines across Snowflake, Airflow, AWS, Python, and SQL.
Optimize Snowflake architecture at scale, including cost controls and performance tuning.
Lead incident response, drive postmortems, and enforce data platform standards across teams.
Attain Finance is a financial technology company that provides lending and financial services through multiple brands. They emphasize a technology-driven, collaborative culture with a focus on operational excellence.
Design and develop scalable backend services and APIs for the Customer Data Platform and AI ecosystem.
Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms.
Partner with Data Engineering and ML Ops teams to support model serving, data products, and operational data systems.
National Debt Relief is a leading debt settlement organization that helps consumers overcome overwhelming debt. They have helped over 450,000 people settle over $10 billion of debt and foster a team-oriented environment with growth opportunities and employee mentorship programs.
Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
Take full ownership of building features from the ground up, mentoring and leading your team to deliver the right solutions.
Partner with data scientists and engineers to create semantic data models and integrate applications across Shift5 componentry.
Shift5 is building the data platform for onboard operational technology (OT), delivering cybersecurity, predictive maintenance, and compliance capabilities for defense and commercial fleets. They are a growing company with a team-based environment, committed to building an inclusive culture and embracing diversity.
Collaborate with meteorologists and partners to develop forecast tools for hazardous weather using scientific expertise.
Design and train machine learning models to identify severe weather precursors and automate data pipelines.
Develop web applications and training materials to transition new tools into operational forecasting.
Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. The company focuses on hydrology/water sciences, geospatial analysis, IT, resource management, and conservation with a streamlined team-oriented culture.
Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.
Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Perform extensive SQL-based data transformations, integrating data from multiple internal and external sources like claims, media, and CRM.
Apply statistical reasoning to analyze trends, identify performance drivers, and ensure analytical rigor in insights.
Develop data visualizations and dashboards that clearly communicate insights and support decision-making.
Underscore Marketing is a woman-owned, independent agency specializing in life sciences. Since 2002, we've helped clients gain a competitive edge through bold, data-driven promotional strategies, and our team of media, strategy, and omnichannel analytics experts thrives on collaboration, innovation, and results.