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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience: At least 3-7 years of experience in a data science role Skills: Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models Strong programming skills in Python (or R or Julia) and SQL Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Net Developer Azure Cloud Data Engineer Azure Databricks Azure Data Factory Azure logic App PowerBi Report Server Python Nice To Have. NET C# skills SSIS Required Skills : Azure.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Visualizing data using a diverse tool set including but not limited to Python and R. Database Management System: Knowledge of how to work with data from (do not build)SQL skills (relational) - CORE / Initial ProficiencyUnstructured (NoSQL)Graph / ontology (DB Graph)Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Must be an expert in SQL, NoSQL, Python, R and have a keen understanding of data modeling, data mining, and data warehousing concepts. Experience with machine learning, data warehousing, data lakes, and big data infrastructure inclusive of Hadoop, AWS, and container technology such as Docker.
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Special Skill Requirements: (1) Building marketing mix models; (2) Experimental design; (3) Hypothesis testing; (4) Complex SQL queries; (5) A/B testing; (6) R (2 years of experience); (7) Python (2 years of experience); (8) AWS; (9) Deep Learning; and (10) Azure.
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Required Qualifications Experience with traditional data modeling and comfortable with leveraging multiple data sources Experience with Python and SQL Experience with statistics and or data modeling tools and analysis Working knowledge of Unix/Linux Working knowledge of source control systems, including Git Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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Strong knowledge with databases, such as Redshift, and Python computing stack via cloud platforms such as AWS and Databricks. Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning.
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learning python jobs Title: data in Newark, NJ
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