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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Training or experience with Databricks, Spark SQL or Python. Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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Experience with statistical analysis software/languages (SAS, SQL, Python, & R) in addition to training in statistical modeling, data analysis, MIS, or computer programing. Use quantitative and analytical skills to mine, process, analyze data using SAS, Python, SQL, MS Excel, and other business tools.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc. Bachelor’s or master’s in data science, computer science, operations research, statistics, actuarial mathematics, applied mathematics, or a related quantitative field.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Strong knowledge and technical skills using common data management tools, (e.g. Excel, SQL, R/Python, AWS Redshift, Tableau, etc.) Development of our organizational approach in leveraging data science to better predict customer value and business outcomes.
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Proficient in tools and languages like Python, R, SQL, and machine learning libraries/frameworks. Proficiency in project management methodologies to ensure the efficient execution of data science projects, including resource allocation, timelines, and project prioritization.
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Or similar; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; microservices architecture, REST APIs, and data analysis on large datasets using SQL, Python, or PySpark; and Sybase and other relational database management systems (RDBMS) as well as database query language.
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Experience with data visualization tools like Power BI.Familiarity with cloud platforms like AWS.QUALIFICATIONSBachelor s or master s degree in computer science, Information Systems, or related field.
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Data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experience. Advanced analytics, data science, machine learning, artificial intelligence, or optimization concepts with the demonstrated ability to apply this knowledge to further the application of data science to business problems.
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A combination of degrees in both technology and business fields is a plusReasonable proficiency in data manipulation skills in SQL, Python, or equivalent. At least 5 years of experience in a similar position or in a role that performed many of the same functions – often has been an analyst, developer, data architect, or consultant delivering data-centric solutions, or has been the “person in the business who does data” regardless of formal roleA degree in a technical or a business field with a focus on quantitative sciences, analytics, or solutioning (Engineering, Finance, Economics, Physics, Computer Science, Statistics, etc.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, (SQL, Alteryx, SAS, Python, Tableau, etc.
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data science python sql jobs in Dallas, AL, United Kingdom
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