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Experience with production cost modeling (e.g., Aurora), optimization modeling, and Monte Carlo simulation, and proficiency with Python, VBA, and SQL; Intermediate skills in predictive modeling and analytics and in using forecasting tools.
$87,225 - $145,375Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with structural dynamics, numerical modeling, 3D finite element analysis, integrated load analyses, monopile design, steel jacket design, fatigue analysis, design of structures, industry software and program languages (e.g. Sofistik, SAP, ROBOT, SACS, SESAM, BLADED, SQL, Matlab, Python.
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Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data. Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS.
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You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
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Machine learning: Strong mathematical foundation and understanding of the concepts underlying machine learning, deep learning, NLP, statistical modeling, and data analysis. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum 3 years of experience as a Data Scientist, Statistician or related position. Founded in 1938, Columbia Sportswear Company is a global leader in designing, sourcing, marketing, and distributing outdoor and active lifestyle apparel, footwear, accessories, and equipment.
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Strong analytical skills, with expertise in statistical analysis, data mining, and predictive modeling. Proficiency in data analysis tools (e.g., SQL, R, Python, Excel) The Senior Impact Analyst will play a crucial role in driving the effectiveness and success of our adidas Brand Specialist Program (aBSP.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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5+ years’ experience as a data scientist or in another predictive modeling job with specialization in machine learning, statistical modeling and optimization. Master’s degree in Data Science, Applied Economics, Statistics, or STEM field with sufficient overlap in explanatory analysis, predictive modeling, data treatments and coding.
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Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) The consultant will be involved in all aspects of the model development life cycle, from business understanding and data preparation through modeling, evaluation, and deployment planning.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
$79,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent coding skills in Python, SQL, and Bigdata technologies. Determines the continuous improvement opportunities of current predictive modeling algorithms. Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.
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2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience.
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Have frequent in-person and virtual interfaces with Project Director, Project Manager, design team, BIM/CADD team, etc. A Master’s degree in Civil or Structural Engineering, along with 5 to 10 years of experience working as a structural engineer focusing on steel analysis and design.
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Key-skills: Microsoft 365 tools, Python Based Tools, Cost Modeling, Distributed Energy Resources, Financial Analysis, Mapping Exercises, Cost Benefit Analysis, Demand Response Program, Project Management, Energy Policy.
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