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B.A./B.S. in a related field (e.g., economics, statistics, data science, public policy, philanthropy, nonprofit leadership) with minimum three years professional research experience. Experience with data visualization (e.g., Tableau.
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Data Visualization Tools: Tableau, Power BI, ggplot2 (in R) Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Must have knowledge of the basic principles of data science, including database architecture, object-oriented programming languages, geographic information systems, statistics, and data visualization.
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Bachelor's degree in data analytics, data science, mathematics, computer science, business economics, statistics, finance, or a related field. Utilize tools including OneStream, UKG Dimensions, Tableau, BI, R, SQL, and Python to query and automate processes, reporting and analysis, and visualization and forecasting.
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Use Power BI or another professional statistics toolset to aggregate relevant marketing and sales performance data and compile statistical analyses of business performance. Use data visualization and presentation tools to prepare executive summaries, dashboards, and infographics to help sales and marketing leaders understand current state of sales and marketing efforts.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Knowledge of Statistics, Python, and data visualization tools. For data Science/Machine learning. Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Proficiency in programming languages such as SAS, SQL, Python or R. Knowledge of data visualization tools such as Tableau is a plus. Qualifications: Graduate Degree in quantitative finance, business, statistics, economics or a related quantitative field.
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Executes data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. The Data Scientist will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.
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Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics. Ph. D. with 1-3 years of pharmaceutical drug development experience relating to: PKPD, pharmacometrics, mathematics, statistics/ biostatistics, or chemical/biomedical engineering.
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Data visualization and storytelling involving the extraction and manipulation of data from multiple systems including database systems (SQL, Oracle, Microsoft Access, Alteryx or comparable system.
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Hands-on experience with data engineering (databricks, spark, dataflow, etc. MS or PhD in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.
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For data Science/Machine learning Positions. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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