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Build and maintain ML pipelines that detect anomalies in healthcare claims and pharmacies using Python, FastAPI, and unsupervised models (KMeans/DBSCAN) with Oracle data pipelines.
Build and evaluate ML models in the cloud, analyze large datasets, and collaborate with a data team using Python, SQL, and Teradata/BigQuery.
Builds scalable backend systems for AI-powered marketing that deliver billions of personalized messages daily using Java/Spring Boot, Python, and AWS.
Data analyst building automated credit-approval pipelines and dashboards for corporate lending, using SQL, Python, and metrics to shape product decisions.
About the Role As the Lifecycle Marketing Lead, you will own PandaDoc's full lifecycle campaigns function: leading a team of Campaign Managers responsible for engaging customers across every stage of their journey…
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Senior analyst builds sales and delivery dashboards in SQL and Looker, tracks pipeline metrics, and forecasts revenue to help Wise Platform’s North America team grow B2B payments partnerships.
Builds scalable data pipelines and AI systems for an investment bank, integrating LLMs, RAG, and analytics to process complex datasets and enable intelligent decision support.
Build and analyze data systems that guide AI-powered coaching for enterprise leaders, using SQL, Python, and BI tools to uncover user behavior and commercial opportunities.
Develops and manages data pipelines for AI-driven medical imaging, ensuring high-quality datasets for training/evaluating algorithms that detect diseases in X-rays/CT scans. Core tech: Python (pandas/numpy), SQL, analytics engineering tools (DBT, Airflow).
Build and maintain data pipelines and AI-driven models to process geospatial and energy data, creating high-quality information products for real-estate and renewable-energy decisions.
Build and maintain scalable ETL pipelines and data models using Python, PySpark, and SQL, deploying on cloud platforms like Azure/GCP and orchestrating workflows with Airflow or Data Factory.
Build and deploy ML models for wealth management, focusing on causal inference, forecasting, and generative AI workflows using Python, TensorFlow, and LLM APIs.
Analyzes equity execution data for a global agency trading desk, automating reports and building analytics to support sales and trading strategies using Python, SQL, and Power BI.
Analyzes user data to improve a bank’s product recommendation engine, running A/B tests and exploring new data sources to boost engagement.
Senior Python engineer building power-system simulation and data-processing tools for New York’s electricity grid, using AI-augmented development practices and mentoring teams.
Build and improve ML models for business decisions using Python, SQL, and scikit-learn; own end-to-end projects from data prep to production deployment.
Builds and maintains BI dashboards and data marts for a Russian insurance company, writes complex SQL queries, and analyzes process deviations using Superset and MS SQL.
Build and maintain collection KPI reports and dashboards in Looker Studio, automate data exports with Python, and analyze delinquency trends to optimize recovery strategies.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
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