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Builds and maintains cloud-based backend systems for a marketing data integration platform, focusing on scalable APIs, AWS infrastructure, and data processing with Python/Java.
Supports a derivatives trading desk by analyzing futures/options markets, backtesting strategies, and assisting with real-time trading decisions using quantitative models and Python/R/C++.
Data Scientist & AI Engineer role in Rome (hybrid, 3 days/week on-site) focusing on Python-based ML/NLP solutions, leveraging HuggingFace, OpenAI, and generative AI technologies.
Freelance Python developer for consulting assignments at Sicis's clients, working full-remote within Italy or hybrid on-site, focused on building microservices, GenAI/LLM integrations with LangChain/LangGraph, and RAG pipelines using vector databases.
Develops Python-based GenAI solutions, focusing on embeddings, prompt engineering, and microservices for clients, with optional hybrid on-site work in Italy.
Builds and deploys predictive models, analyzes datasets, and creates dashboards to solve business problems for a nonprofit R&D org; bridges technical and non-technical teams using Python, SQL, and ML.
Builds and optimizes data pipelines, migrates legacy systems to cloud architectures, and develops scalable data solutions using Python, PySpark, and Azure services while occasionally contributing front-end components.
Leads data-driven compliance operations by building predictive models, optimizing transaction screening systems, and automating workflows to reduce manual effort. Core focus: AWS analytics, statistical modeling, and dashboarding for AML/regulatory risk management.
Overview Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together? Do you enjoy working with teams that leverage AI…
About Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand…
Senior Data Scientist building ML and GLM-based pricing models for P&C insurance products, deployed via Databricks/Spark workflows. Core tech: Python, Databricks, PySpark, SQL, GLM, XGBoost/LightGBM.
TyrAds is seeking a Data Scientist to build, deploy, and monitor real-time machine learning models for their adtech platform. The role involves optimizing inference latency, conducting A/B tests, and managing data pipelines to improve personalization and fraud detection.
This entry-level data science role involves analyzing spacecraft manufacturing and telemetry data to identify anomalies and predict component failures. The position requires proficiency in Python and SQL to build dashboards and predictive models to support mission operations.
We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how conversion signal gets delivered, measured, and trusted across our paid web traffic. You will…
Analyze mobile ad campaigns for social networking and streaming apps, build dashboards, and recommend optimizations to improve traffic quality and ROI using SQL, Python, and BI tools.
Solutions Engineer managing healthcare data workflows—ingesting, cleaning, and delivering client data using Python and SQL—while ensuring HIPAA compliance and clinical integrity in a startup environment.
Senior Data Analyst who designs data models, builds analytical pipelines, and translates complex findings into actionable business decisions for a digital estate planning platform.
Build and maintain Azure data pipelines with Databricks and ADF, optimizing Spark/Pandas notebooks for large-scale financial transaction processing in a regulated environment.
Leads validation and characterization of advanced photonic integrated circuits (PICs) integrated with electronic ICs for high-speed data center and AI applications, using optical and electrical testing tools.
The Data Science Analyst will design, build, and maintain data pipelines and models using Palantir Foundry, Python, and PySpark. They will collaborate with clients to translate business requirements into technical data solutions and ensure high data quality.
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