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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Integrating innovative approaches in individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
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You will possess broad knowledge across pricing, monetization, solutioning and project management to complement your knowledge of advanced analytics, machine learning and artificial intelligence.
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Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Enhancing data handling, data hygiene, data cleaning and data modeling methods to connect structured and unstructured data using Python, R, Power Platform, SharePoint and Excel to uncover market performance improvement opportunities.
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Master's degree in a quant-based field e.g., Analytics, Mathematics, Economics, Computer Science or similar technical disciplines or equivalent practical experience. Designing and developing the data engineering strategy to allow for a scalable and reliable data architecture supporting multiple platforms and considering data ingestion, transformation, and storage; supported with detailed documentation and maintenance of processes, methods and procedures including Python and SQL codes.
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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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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.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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10+ years of experience in analytics, familiarity with advanced analytics including machine learning, predictive modeling, neural networks, clustering models and natural language processing.
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The Senior Research Director is expected have extensive experience, evidenced by high quality publications and presentations, with advanced quantitative methods such as generalized latent variable modeling, machine and deep learning, and as well as with applications of these methods to assessment development and data analytics issues such as automated item generation, automated scoring, sequence data mining, and automated test assembly.
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Should have a strong background in at least one of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A track record of commitment to prior employers · 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role · 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: intern Company: Deloitte
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