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5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
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Practical experience in quantitative and qualitative data analysis using tools such as SQL, Python, R, or SAS. SQL and Python experience are preferred. Prior experience with SQL, SAS, R, and/or Python are a plus.
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Must have two years' programming experience in at least two of the following: R, Python, SQL. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Familiarity with modeling software such as MATLAB/SimBiology, R, Python, or Berkeley Madonna is desired. The Project Representative will be based in one of AbbVie's R&D locations: North Chicago, IL; Worcester, MA; Cambridge, MA; San Francisco, CA.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Advanced SQL programming (SQLPathFinder, ScriptHost, SQL Query), SAP WebI, Power BI reports development, JMP, Excel, VBA and Visual Basic/R/Python, OR Matlab. Proven track record of Problem Solving, Data Analysis Skills including statistical analysis and modeling or computer programming (SQLPathFinder or JUMP Script or Python or AI/Machine Learning.
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2 years Knowledge of one of the following: Basic understanding of statistical/econometric analysis software, Python, SAS, R, MS Access, VBA, SQL/Windows command line interfaces and databases such as MySQL or MS SQLServer, and an interest in gaining skills in scripting.
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Intermediate understanding of SQL and/or some knowledge of a scripting/compiled/statistical programming language (e.g. Python, R,. This role will report to the Sr. Team Lead, Inventory and Demand Planning and resides in Chick-fil-A Supply LLC.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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) Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
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Python, R, Matlab, Tensorflow, DMTK. Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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Experience in writing reusable complex Python/PySpark scripts for ELT, Business Logic OR APIs. Other Coding experience such as Scala and R Programming is a plus. Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
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Knowledge of model building and/or validation (using SAS, R, Python, Matlab, etc. The Model Risk Analyst role contributes to the overall quality of risk management across the Bank by collaborating with Corporate Risk Management directors, senior leaders, business unit managers, and model owners for the purpose of ensuring model development, model implementation, and model monitoring, conforming to the standards set forth by both the Bank’s Model Risk Management Framework and the provided regulatory guidelines.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc. For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Experience with manufacturing software support such as C#, SQL, Network Architecture, Python or R, Oracle or SQL Server, Web Development (ASP.NET), SAP, and OPC Standards, Knowledge of software configuration management and change management practices.
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