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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Evaluate current reporting standards and explore ways to incorporate latest advances such as data visualization, mapping, and enormous data sets and use latest technologies (e.g., in memory analysis) to distribute the power and ability to problem-solve into the hands of the end-users with cutting edge tools such as QlikView and Tableau along with Salesforce analysis tools like Einstein Analytics.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Expertise in visualization tools/ data lakes (i.e., Spotfire, Tableau, JMP, ellumninate, etc.) Strong knowledge with CDISC (CDASH/SDTM), medical dictionary coding standards, FDA and ICH guidelines, GCP, 21 CFR Part 11, Good Clinical Data Management Practices (GCDMP.
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Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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Familiarity with data warehouse solutions like Redshift or Snowflake and data orchestration tools like Apache Airflow is a plus. Implement basic data governance practices, including metadata management and data lineage tracking with tools such as Apache Atlas.
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Good knowledge of Data & Analytics technologies such as Data Lakes, Business Intelligence Tools, Predictive Models, 3rd Party Data. Good knowledge of Microservices & API Mgmt., Java Script Frameworks such as Angular, Cloud Platforms such as Microsoft Azure is preferred.
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3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Masters in Statistics, biostatistics or related discipline 3+ years Clinical data management, clinical disease registries, population health or in the medical best practices, managing, cleaning and integrating large, complex databases (specifically SQL databases: SQL queries and SAS.
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Managing clients in 40+ countries, their global team of 300+ focuses on data-driven strategies that help connect brands to the right consumers through performance partnerships, traditional affiliate, influencer, performance PR, content and B2B partnership marketing.
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Proficient with data management and analysis in statistical software (R, Python, SQL) Software development and data visualization skills. A good candidate will be able to work with football data to draw insights and improve decision-making.
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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company’s products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company’s therapies.
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Data Analysis: Dive into project survey data to assess existing site conditions, considering various factors, including legal descriptions, ALTA surveys, easement documents, and condo documents.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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data job Title: developer Company: Intuit in Philadelphia, PA
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