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3+ years of specific data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS. Maintain requisite knowledge for managing and analyzing large data sets using Python, SAS, SQL, or R.
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Bachelor’s degree in business administration, computer science, mathematics/statistics, engineering, management information science, data processing or related field and experience with Tableau, Cognos/Argos, SQL, and/or SAS is required.
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Key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools. Experience with SQL, Python, R, Tableau, and Excel in a business environment required.
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Expertise in Python, R, SQL, statistics, data mining. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you.
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Experience with cloud platforms such as Azure, AWS Understanding of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) and data warehousing solutions (Synapse, Amazon Redshift, Snowflake.
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Design and develop R/shiny applications to solve data science and business analytics challenges. This data scientist position will require a collaborative leader skilled in building analytics and reporting solutions using R/Shiny.
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Strong SQL (writing complex queries), Microsoft Excel, Tableau, Looker and Qlik Sense dashboard development, or other data analytics and visualization tools. Experience with large dataset mining tools and open-source programming tools (e.g., SQL, R, Python, Spark.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Strong survey and quantitative skills, with a passion to understand the “why” behind user behaviorExperienced in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C.
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We are looking for Senior Oracle Data Engineer - Remote / Telecommute for our client in Toronto, ON. Job Title: Senior Oracle Data Engineer - Remote / Telecommute. Technologies: Oracle APEX, REST API s, PL SQL, Microsoft Azure, OCI, AWS, Node JS, JavaScript, CSS, HTML, JQUERY and AJAX.
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Designs, validates, and evaluates solutions using R, Python, SQL, and other programming tools. Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking.
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Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL); experience with data modeling, data warehousing, and ETL processes, proficiency in various programming language (e.g., Python, SQL, Java), experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Databricks, Hadoop, Spark, Kafka, Cassandra.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology.
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You will develop and consolidate budgets and forecasts, provide master data governance, build reports, evaluate results, provide analysis and insights, and support data visualization initiatives for the unified R&D organisation across CSL Behring, CSL Seqirus and CSL Vifor.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Leveraging experience with basic programming: Python, R, SQL, Matlab, C.
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data science r sql jobs Company: Harnham
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