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Mid-Data Scientist developing predictive and statistical models for aviation and supply chain data using Python/R, SQL, and cloud platforms, supporting U.S. Government missions on-site in Vienna, VA.
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries,…
Lead the ML team at an ad-tech giant to architect cross-channel budget allocation, bid optimization, and attribution models that maximize ROAS for global brands using real-time performance data.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Design AI-ready data representations for biological imaging, guiding how frontier models learn from raw images and other modalities to accelerate disease research.
Lead advanced analytics, predictive modeling, and AI-powered initiatives as VP of Data Science within Burson's Insights & Intelligence team, using Python, SQL, R, and cloud platforms to deliver data-driven client solutions in a communications/PR agency setting.
Who We Are: West Yost is a water resource management and engineering firm focused exclusively on water. Since our founding in 1990, we have partnered with public agencies including cities, counties, utilities, and…
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
VP of Data Engineering leading data strategy, architecture, and governance across Databricks, Snowflake, and cloud data platforms for an asset management firm, partnering with investment, product, and AI teams.
Creator.co is seeking a Mid-Level Backend Engineer to build high-throughput APIs and data-handling services for their influencer marketing platform. The role involves migrating from a monolith to microservices using Node.js, PostgreSQL, and AWS to manage high-velocity social media and e-commerce data.
Designs and delivers data-driven decision-support tools for federal public safety clients, combining SQL, Python, and Power BI to build dashboards, analyze complex datasets, and mentor junior analysts.
Builds and maintains data dashboards/reports for a federal client, using SQL, Python, and Power BI to analyze structured data and support decision-making in public safety operations.
Build and optimize KDB+/q time-series databases for financial markets, creating low-latency analytics and APIs used by traders, quants, and AI models.
The Junior Data Engineer will join the AI Markets team to develop and optimize kdb+ time-series databases, building analytic layers and APIs for traders and quants. The role involves working with large datasets, performance tuning, and integrating data with AI/ML workflows.
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
Senior Data Engineer building and scaling ML-powered data products (OCR, transaction coding, RAG/agentic systems) on a commercial banking platform, using Python, Go, Snowflake, DBT, Kubernetes, and GCP.
DevOps Engineer maintaining and extending large-scale, multi-cloud Kubernetes infrastructure using GitOps methodology for InfluxData's time series database platform.
Build and support predictive models (forecasting, matching, scoring) at a healthcare marketplace startup using Python, SQL/Snowflake, and scikit-learn.
Builds AI-driven demand forecasting and promotion optimization models for CPG brands, using messy retail/supply-chain data to improve sales predictions, pricing, and promotional strategies. Works closely with ML engineers to deploy models into Confido’s unified CPG platform.
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