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Build and maintain the quantitative software platform for a systematic trading firm, developing ML tools and infrastructure to support large-scale financial market experiments and model deployment.
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Lead a team to design, build, and deploy production-grade ML systems and pipelines using Python, PyTorch, and cloud-native tools to improve United Airlines' operations and customer experiences.
Builds and maintains full-stack healthcare software using C#/.NET and Python backends with Vue 3 frontends, integrating with hospitals and labs while ensuring LGPD compliance.
Teach data science fundamentals and mentor students via live sessions, 1:1 calls, and project reviews using Python and ML libraries.
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Build and validate campaign segmentation logic using SQL and SSIS, then pull and reconcile large customer lists while ensuring secure data delivery.
Lead a Data Science team to transform pharmacy data into predictive models and business insights, using Python, SQL, and ML to optimize sales, marketing, and inventory for pharma brands.
Build and maintain Silverflow’s cloud-native data platform, writing ETL pipelines and infrastructure-as-code to power real-time payments analytics and AI tooling in a regulated environment.
Build full-stack analytics solutions for Apple’s HR teams using Python, Snowflake, and Linux, turning employee data into dashboards and automated workflows.
Build and maintain in-house fund management tools using Python, SQL, and automation to support fund managers and analyze portfolio performance.
Build and maintain Tableau dashboards, SQL queries, and Python automation for Auto/Moto lending metrics while supporting Product, Marketing, and Operations with ad-hoc data analysis.
Build pricing, forecasting, and recommendation models for a B2B wholesale marketplace using Python, SQL, and econometric techniques.
You will develop, implement, and maintain quantitative financial risk models and reporting tools, utilizing Python to translate complex statistical concepts into robust code You will execute rigorous validation…
Jeden Abend wirft der Handel Ware weg, die niemand bestellt hat. Und gleichzeitig steht jemand vor einem leeren Regal. Beides sind Planungsfehler und beide lassen sich rechnen. Genau das machen wir bei Circly:…
About the Role We’re seeking a driven Data Scientist to join our FP&A team - someone who’s eager to work directly with senior leadership and bring predictive modelling, experimentation, and applied AI into a team…
Builds Python-based automation scripts and integrations for enterprise systems using Selenium, Pandas, and REST APIs.
SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
Build AI-powered tools (LLM-based) for hardware engineering teams, including backend services in Python and front-end interfaces with React/Next.js.
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