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The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucids Luxury brand.
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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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Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience. Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience.
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Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson.
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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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Extensive experience in solving scientific problems using programming languages relevant to data analysis such as Python, R, Bash (shell scripting), etc. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation obesity therapeutics.
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Lead AI Data Scientist. 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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Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader. The Department of Data Science at New Jersey Institute of Technology (NJIT) invites applications for tenure-track faculty positions starting in Fall 2023.
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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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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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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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data science jobs Title: data science lead Company: Facebook
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