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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 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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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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Master's degree in data science, computer science, statistics, computational linguistics or engineering preferred. A bachelor's degree required, preferably in data science, mathematics, statistics, computer science, engineering, finance or a related field.
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Master’s Degree preferred (preferably in Computer Forensics, Computer Science, Computer Security, or Information Security) AND three (3) years professional digital forensic experience.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. 6 to 8 years of IT experience and at least 4+ years in cloud native data engineering solution design/architecture and development.
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We appreciate broad perspectives, a willingness to dive deep, and a readiness to work collaboratively across many disciplines (including product, design, operations, legal, data science, ML.
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Bachelor’s degree in computer science, Information Systems / Security, Computer or Systems Engineering, or related technical degree with 2 - 6 years of related NERC CIP experience resulting in demonstrated ability to perform the major duties required.
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Jo b Su mm a ry: The Developer must have extensive experience in software analysis, design, development, implementation and maintenance of Data Warehouse/Data Marts. T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. 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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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Option 3: Master's degree in Computer Science or related field and 2 years' experience in data modeling, data analytics, data warehouse, software engineering or related field.
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software engineering developer computer data science jobs Title: engineer in New York
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