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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Synechrons progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Emphasize a multi-channel approach, including social media, search engine marketing (SEM), search engine optimization (SEO), email marketing, influencer partnerships, and content marketing. Make data-driven decisions to optimize marketing efforts and improve ROI.Customer Retention:Work with the retention manager to oversee loyalty programs, personalized offers, and post-purchase engagement strategies to retain customers.
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Integrate RPA solutions with existing systems and databases to ensure seamless data flow and process optimization. Develop scripts for data extraction, transformation and integration to support automation initiatives.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Use LLM-backed agents for lab orchestration, design of experimental assays, and optimization of process parameters for materials synthesis and testing.
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The successful candidate will participate in research formulating and solving optimization problems that arise in the optimal control and operation of transportation systems, as well as processing and analyzing high-fidelity transportation data sets to formulate ML-based surrogate models useful for transportation systems planning purposes.
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Monitor, analyze, and report on the performance of content marketing initiatives, utilizing data insights to optimize content strategy, drive continuous improvement, and make data-driven recommendations for optimization.
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Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.
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This position will be the primary technical resource, a hands-on individual contributor for the implementation of key services including enterprise data lakehouse, design ingestion framework, cloud data security and vulnerability remediation, network optimization, sandbox/workspace infrastructure-as-code and data enablement services, business intelligence services, AI/ML services, etc.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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As the Workday HRIS Manager, you will play a pivotal role in the continuous development, optimization, security, data integrity, reporting, and overall platform management of Workday within our organization.
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We work with agencies and corporations across the country in the areas of Account Management/Client Services, Brand Strategy, Content and Digital Strategy, Traditional and Digital Media, Marketing Data Analytics, Search Marketing (PPC/SEO) and Social Media.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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