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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.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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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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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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Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
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Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI. Qualtrics Customer XM and XM Discover Advanced Proficiency, SQL, R, Python, SPSS, PowerBI, Tableau.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Manager, Data Engineering (Spark, Scala, SQL.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Data engineering certification is a plus.
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Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, specialty, hotside, hot side, Hstech, HVACR, cooking equipment, restaurant, kitchen, appliance.
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Also, interaction and a commitment to client service for both internal and external clients Qualifications 10+ years’ experience in water/wastewater engineering and project management Bachelor’s degree in Civil Engineering (or equivalent) Georgia Professional Engineer (PE) license or the ability to become registered within 6 months Demonstrated technical proficiency in hydraulics, water/wastewater treatment, industry standards, etc.
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Exhibit ownership of delegated tasks, including responsibility for coordination and delivery of on-schedule and on-budget tasksExperience with Municipal wastewater, facility infrastructure design, and other Municipal planning, design, and construction engineering activities.
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This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures.
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data science python r civil engineering jobs in Atlanta, CO, United Kingdom
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