Transform complex data into actionable business insights that influence strategic decisions.
Develop, enhance, and maintain reporting solutions using Power BI and advanced visualization tools.
Translate technical analytics outputs into accessible insights for non-technical stakeholders.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They focus on innovation, learning, and continuous improvement, offering a collaborative remote environment.
Evaluate and assess AI model outputs based on predefined quality, accuracy, relevance, and behavioral guidelines.
Annotate, classify, and label text, images, or audio to support AI model training.
Create prompts and generate high-quality responses to improve language model reasoning capabilities.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They focus on efficient, fair recruitment and handle data privacy in compliance with GDPR.
Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
Build predictive models, AI tools, and data visualizations to support product design and automate processes.
Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.
Build, maintain, and improve decision systems and predictive models key to competitive advantage.
Explore new data sources, design experiments, and prototype solutions using cutting-edge technologies.
Identify and implement advanced analytics methods as part of a collegial data science team.
Purchasing Power is a leading employee purchase program that helps people buy products through payroll deduction, part of PROG Holdings (NYSE: PRG), a FinTech holding company. We're an entrepreneurial, high-ownership team building data-driven products, moving fast with data-grounded decisions.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Work closely with product, engineering, and business teams to identify opportunities and monitor performance across acquisition, retention, and engagement.
Design, execute, and analyze A/B tests and multivariate experiments to evaluate product changes and growth initiatives.
Develop and maintain scalable, self-service dashboards and visualization tools to improve visibility of KPIs across teams.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and create shortlists, while hiring decisions are ultimately made by humans.
Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.
Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.
Client engagements, end-to-end: Lead discovery, align stakeholders, define scope, and drive launch and adoption for complex data problems.
Translating business problems into working systems: Turn whiteboard conversations into clear specs for engineers—ETL pipelines, semantic models, metrics.
Building the company, not just the client: Identify repeatable assets across engagements and contribute to proposals and solution approaches.
Paradox Machines is a venture-backed data and AI company that helps organizations leverage AI through expert data engineering and an AI-enabled platform. As a founding team, they are building the company and its scalable processes with a focus on trusted analytics and AI.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, build, and maintain scalable data pipelines for geospatial data.
Develop and drive data quality standards, including validation and monitoring.
Collaborate with engineers and scientists to understand requirements and deliver solutions.
Vibrant Planet provides a cloud-based, AI-driven platform for wildfire risk management. They are a startup backed by climate leaders, fostering a collaborative and innovative engineering culture.