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Graph Mining, etc) to solve complex business problems Explore and leverage in-house, external, and other open-source machine learning software/algorithmsPossess deep understanding of SoFi’s data and reporting capabilities and technology, including the familiarity with attribute-level data and dictionaries and data extraction, transformation and visualization tools.
$192,000 - $330,000ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ensure that case management services to clients are reflective of the "Whatever It Takes" model, which emphasizes customer choice, harm reduction, trauma-informed care and psycho-social rehabilitation.
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Serves as a subject matter expert in the analysis of bank and non-bank financial institution activities including stress testing exercises, market risk reviews, capital markets-related horizontal reviews, market making and underwriting metrics, derivatives activities (including hedging), and other similar data intensive or model-based analyses.
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If you have a proven track record of delivering complex, scalable, and innovative software solutions using a variety of technologies, including React, TypeScript, Python, HTML, CSS, Rust, JavaScript, Node.js, Terraform, and Kubernetes, we encourage individuals from all backgrounds to apply.
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Our team has expertise in Radar and Missile Development, Multi-Domain Operations, Flight and Ground Test Planning and Execution, Tactical Data Link Testing, Test Range Instrumentation, Systems Engineering & Integration, Model & Simulation Development, and Digital Engineering / Model-Based Systems Engineering.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlowApache Spark Knowledge of Snowflake DataOps and MLOps best practices around model training, evaluation, deployment, and governance.
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Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems Working Conditions: This role falls into our hybrid work model working in the office on Monday through Thursday.
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The Campaign Measurement & Optimization (CMO) organization is looking for a Applied Science Manager interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model.
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Work with SR IT Communications Manager and others to develop a Knowledge Centered Service (KCS) model for BMHCC Help Desk. oClearly convey complex technical information to a wide range of audiences - including BTS co-workers, managers, leadership, and team members.
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In this role at Payrix within FIS, you'll have the opportunity to delve deep into complex data, unraveling insights that shape our risk management strategies and influence the broader business intelligence landscape.
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Employer sponsored 401(k) match of up to 2% after 90 days of employment Creating a culture you can thrive in: Flexible work arrangements: 66% of Spring Health team members work fully remote while 33% work in a hybrid model from our New York City officesFocus Fridays: no meetings, no distractions, just time for you to get work done.
$127,400 - $165,700Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We have pioneered a physician-led, multi-site model of practice solutions that restores physician agency by aligning incentives to support growth and transition to value-based care. As part of Optum, we participate in an integrated care delivery system that enables us to support our partners as they navigate a complex healthcare environment, Only SCA Health has a dynamic group of physician-driven, specialty care businesses that allows us to customize solutions, no matter the need or challenge: We connect patients to physicians in new and differentiated ways as part of Optum and with our new Specialty Management Solutions business.
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Involve in technical innovation through active research and applications of new theories, techniques, and technologies such as machine learning, deep learning /AI models (e.g., neural networks, convolutional neural networks, large language model) for complex clinical data analysis and prediction.
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Multi-dimensional knowledge, experience, and extensive understanding of material handling and automation capabilities including, but not limited to: ASRS, Shuttle Systems, Autonomous Mobile Robotics (AMRs), automated packaging and labeling, and complex sortation systems.
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Of developing robust mathematical models capable of predicting complex cell behaviours which capture electrochemical, thermal, and mechanical mechanism. Use your understanding of material science and electrochemical characterisation to analyse experimental data, which can be fed into the model.
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