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Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions,…
Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role…
We are strategically building an A-team of highly skilled and autonomous individuals. We are seeking a Senior Data Developer /Lead to join one of our small, co-located, high-performing squads. This role demands a…
At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so…
Data Scientist – Analytics as a Service Position Summary The Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol's Analytics as…
Senior engineer building AI-driven analytics and autonomous decision systems to optimize AMD's global supply chain, using Python, Power BI, and ERP integrations.
Designs and governs AI-ready data architectures for retail media and ad tech platforms, leveraging Azure, Databricks, and Snowflake to enable scalable, governed data products and semantic layers.
Designs and deploys real-time recommendation systems and ML infrastructure for a startup building AI-native consumer entertainment experiences, using scalable data pipelines and low-latency serving.
Senior Data Scientist at Checkout.com in London designs and optimizes ML models for payment flow improvements, focusing on multi-objective optimization and scalable architectures in fintech.
Builds and maintains data pipelines and analytical workflows on AWS, turning data into insights for B2B clients while collaborating with cross-functional teams.
Builds and maintains data-driven solutions on AWS, analyzing datasets, engineering features, and creating scalable analytical workflows while collaborating with cross-functional teams.
Builds and deploys machine learning models to analyze open banking data for fraud prevention and credit risk decisions, working closely with engineering to operationalize insights at scale.
Builds and deploys machine learning models to turn bank transaction data into fraud and credit risk insights, working closely with engineering to operationalize models at scale.
Designs and maintains Azure-native data pipelines for a global mining company, transforming operational data into analytics-ready datasets using Azure Synapse, Databricks, and Data Factory.
Leads a team to build and deploy ML scoring models (e.g., click/conversion predictions) using Python, TensorFlow/PyTorch, and GCP, while aligning with business metrics and cross-functional stakeholders.
Builds and maintains Python-based automation services and LLM-powered document extraction pipelines for healthcare procurement documents, deploying on AWS.
Designs and builds machine learning models to extract business insights from data, using Python, SQL, and probabilistic modeling tools like PyMC.
Designs and migrates enterprise-grade data platforms, pipelines, and lakehouse architectures (e.g., Databricks) for government clients, ensuring scalability, security, and alignment with business needs.
A Forward Deployed Engineer at Deloitte partners with clients to design, prototype, and deliver enterprise-scale GenAI solutions using Palantir platforms, requiring hands-on engineering and client-facing collaboration.
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