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Participating in INT Functional Management meetings related to Open-source intelligence (OSINT), Measurement and Signature Intelligence (MASINT), and Human Intelligence (HUMINT), as well as ISR Collection, ISR capabilities and ISR Data Integration tasks related to IC and International partnership.
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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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Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT.
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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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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 5+ years of experience using AI/ML , data science software (e.g., Python-based tools.
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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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Direct and support various data pipeline activities including source data engineering, data intake, data contextualization systems, and validation. BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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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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Lead AI Data Scientist. 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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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network.
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Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently. 2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. 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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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 open source jobs Title: data science lead
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