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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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Proficiency in programming languages such as Python for data manipulation, analysis, and model development. You will use your business acumen, knowledge of data and AI to support key products within Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
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Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
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A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
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Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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Prior experience applying data science techniques to oil and gas drilling data. 5+ years' applying data science techniques to oil and gas automation projects. Provide guidance on algorithm design, research, deployment, and general operations to the data science team as a whole.
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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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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X. Responsibilities: Teach some combination of classes from the following: introductory-level courses in international relations, international political economy, international development, research methods, statistics, or data science.
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More information about the Data Science department can be found at Particular strengths of collaborative research at UO include environmental science, ecology, evolution, linguistics, cell and developmental biology, sport and wellness, earth science, and spatial information sciences.
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data science jobs Title: consultant Company: Verizon
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