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Architect/Developer should have strong technical experience in data analysis business intelligence and/or data science. Job Description: Versed in Business Intelligence and data analysis software systems and concepts.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 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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We are responsible for the end-to-end data science life cycle, right from ideation to developing Proof of concepts (PoC) and finally building and maintaining production data science and applications/products/featuresThis role is a unique opportunity to drive business value for multiple stakeholders and the ideal candidate must have deep design and hands-on development expertise in Statistics, ML, NLP, LLMs, model development and integrating ML solutions with business.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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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, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
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We are seeking a talented Business Intelligence Engineer to support the Prime Video US Science, Engineering, and Measurement Team. We are continuously raising the bar on the scientific rigor of marketing measurement and optimization through analytics, experiments, and models.
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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Master's degree in data science, data engineering, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data science, data analytics, consulting (MBA Preferred.
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Contribute to the development and maintenance of dashboards and reports using tools like Workday, Tableau or AlteryxSupport ad hoc data analysis and reporting requests as neededExperience you'll bringCurrently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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Electrical Engineering, Mathematics, Physics, Statistics, Engineering Science, Chemistry, Mechanical Engineering, Civil Engineering, Chemical Engineering, Business (IT Management) Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Lead data science projects from inception to completion on topics such as consumption and revenue forecasts, digital advertising forecasts, global trends analysis, business performance trends, and more.
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Applies data science techniques to solve complex business challenges, improve efficiencies, and lead to positive return-on-investment outcomes. This work focuses on varying types of complex business challenges related to farming, agronomy, and plant science research.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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business data science jobs Company: Ark Solutions
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