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Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, structural equation modeling, factor analysis, data mining, NLP techniques.
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Experience applying analytical surface science techniques (e.g., RAIRS, XPS, AES, or ToF-SIMS). Experience with theory and modeling of surface chemical reaction mechanisms and kinetics.
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We are looking for expertise in power engineering (power systems modeling, simulation and analysis) combined with experience in machine learning and data science (anomaly detection and classification, pattern recognition, unsupervised and supervised learning techniques, deep reinforcement learning, time series data processing.
$106,440 - $163,968 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Along with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience or familiarity with data science platforms such as Databricks, H2O, AWS Sagemaker. They can encompass both quantitative and methodical skills or more creative and innovative skills like establishing cause -and-effect in a high-tech business environmentEstablish and operate a Data Science and AI Community of Practice (CoP) for the purposes of sharing standard methodologies and frameworks, discussing emerging trends and technologies, and cross-team sharing of ideas and initiatives.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Strong experience in Python, R, SQL, and other relevant tools for data analysis and statistical modeling. PhD/MS degree in Computer Science, Statistics, Applied Mathematics, or related fields.
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6+ years of proven experience in Data Science, predictive modeling using Statistics and Machine Learning. The team is part of Investment Risk Management Group and supports multiple investment risk managers (across Equity, Fixed Income and Alternatives) by developing data science solutions and machine learning techniques.
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Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining. Bachelor's or Masters degree in Operations Research, Supply Chain Management, Computer Science, Systems Engineering, Mathematics, Statistics, Quantitative Finance or related field and 5 years of work experience in any analytics-related occupation.
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Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician.
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Considerable experience in data science or AI, demonstrating notable contributions to AI projects in leading tech firms. Solid understanding of NLP, predictive modeling, statistical analysis, and machine learning algorithms, showcased through a portfolio of innovative AI solutions.
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As a Junior Data Scientist, you will work on various data projects, assisting in data analysis, modeling, and developing machine learning solutions. · Knowledge of Data Ethics and Privacy: Understanding of data privacy laws (like GDPR) and ethical considerations in data science.
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Experience with enterprise cloud economics and understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/B testing) and nonparametric Bayesian modeling etc.
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1+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop. The Data Science team at Albertsons Companies is looking for an experienced Data Scientist to work for the most transformational food and drug retailers in the United States.
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