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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest python, R, and/or Spark.
$158,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. Natural Language Processing (NLP) skills. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
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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.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in at least one programming language (Python, R, Stata, SQL) and visualization tools (e.g. Tableau) Programming proficiency in Python, R, and SQL with additional experience in SAS. Experience building and maintaining packages in Python is a plus.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
$118,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Expertise in one of the following areas: environmental, nutrition security, geospatial information systems, exposure science including but not limited to the impact of exposures on health outcomes of chronic or infectious diseases, climate change, nutritional epidemiology, urban health, and geospatial effects on human health including but not limited to the application of GIS, big data, artificial intelligence, exposomics, or machine learning computational methods to improve health outcomes.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Web application (R-Shiny, Python Flask) that you have industrialized. Programming languages: Python, R, SQL. Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.
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Analyze large volumes of internal and external data using common data science tools (SAS, SQL, R, Python, etc.) Proven experience using common data science tools like R and Python to rapidly solve business problems, preferably with respect to a credit/lending risk organization.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in Python, SQL, git and common Data Science, Artificial Intelligence and Machine Learning libraries. The Manager of Artificial Intelligence and Machine Learning Engineer reports to the Senior Manager, IT Data Science & Analytics.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big science processing r python jobs Company: Pwc in Newark, NJ
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