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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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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. 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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Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear, predictive analytics (e.g. deep learning, econometrics, time series/forecasting, vehicle routing, and related skills.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Sustainability Responsibility Ensure all duties carried out and actions completed in every aspect of your role, contribute to the short and long-term Sustainability Goals set-forth by the ELEMIS - Climate, Biodiversity & People Pillars QUALIFICATIONS & CHARACTERISTICS Bachelor's Degree (BS/BA), 1-2 years of experience in data science, data analytics, or paid media as an intern or full-time.
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5 years of relevant experience, which can include a combination of management consulting, commercial analytics, and/or real-world evidence generation within the pharmaceutical industry; using common analytic toolsets (e.g., R, Python, SQL.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on experience with analytical tools of the trade, including but not limited to MySQL, Python, R, MatLab, and BigQuery. A familiarity with marketing analytics platforms such as Google Analytics and Adobe Analytics is a huge plus.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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This is a highly technical role, requiring familiarity with day-to-day operations and use of eDiscovery technology including data processing tools, hosting platforms (Relativity experience required) and analytics/TAR/Predictive Coding (Relativity or Brainspace strongly preferred.
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Are you ready to go beyond classic predictive analytics to new areas like deep learning and reinforcement learning? Minimum 10 years of combined experience in software development, analytics, or data science Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
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Snow Fox Data, a division of Excelion Partners, is the premier partner for data strategy, analytics, data science, and AI consulting. This is a great opportunity to grow with a Midwest-based company that offers a remote work environment, competitive salary, and collaboration with some of the top leaders in the data science and analytics industry.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer to implement scalable analytics 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.
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science predictive analytics analyst python jobs Company: Cvs Pharmacy in Jersey City, NJ
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