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Data science, machine learning, optimization models, Master’s degree 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)Primary Location.
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The new faculty member will teach a variety of undergraduate courses, including introductory climate change, python-based computer applications in climate, atmospheric thermodynamics, atmospheric dynamics sequence, senior capstone, and other courses in the program.
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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science) Familiarity with a variety of foundational data concepts: Visualization (Tableau), Programming (Python), Structured queries (SQL), Cloud Data Ecosystem (Snowflake), Data Observability & Governance (Alation), Data Privacy & Security.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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Arcadia’s ambitious research goals require strategic integration of software engineering, computational biology, and machine learning tools across all aspects of our science. Top candidates will have fluency in multiple coding languages (e.g. R, bash, Python), and will easily adapt to conducting analyses on different computational infrastructures such as AWS cloud computing.
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Demonstrated 4+ years' hands-on experience with Python, SQL, Natural Language Processing (NLP), Large Language Model (LLM), TensorFlow/Pyspark/ or Keras is highly preferred. Play a pivotal role in guiding the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering.
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You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
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Data science, machine learning, optimization models, Master's degree 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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This role requires proficiency in search engines, natural language processing (NLP), machine learning and statistical techniques. The TeamThe Enterprise Data Solutions (EDS) team is part of the Chief Information Office (CIO) org and comprises of four teams: Advanced Analytics & Insights (Data Science & BI (Business Intelligence.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in the digital marketing industry (including but not limited to marketing analytics, social media marketing, digital marketing, digital communications, search engine optimization, data visualization, and public relations.
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Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker. Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
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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)Primary Location.
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Search tools: Solr, Lucene, Elasticsearch. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
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Technology Tools: AWS, Open Search and Python Data Science tools. or technical field of study (e.g., statistics, mathematics, computer science, physical science, quantitative social sciences.
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Programming languages, math/statistics packages, computer science, machine learning, scientific computing) JAVA, Python, Perl. SAS, R, SPSS, Matlab, Mahout/ AWS, Big Data/Cloudera, VMWare, Scrum Master.
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