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The ETL Developer will be focusing on maintaining and enhancing data ingestion pipelines as well as migrating of an existing ETL tool to Informatica PowerCenter and leverage cloud technologies like Snowflake.
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Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelors Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The Data Scientist is a key role in the transformation of business. Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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Senior Data Scientist. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Understanding of cloud data engineering and integration concepts. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Proven Machine Learning experience and involvement in data science projects and product delivery. Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
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Preferred Skills (Data Scientist) Required Skills (Data Scientist) Our team creates and supports several existing ML products such as a customer support generative AI chatbot, semantic search, error identification, customer support dashboards, etc.
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Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from relational databases and flat-file sources.
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As a member of the Data Sciences team, and in this new role, you will develop robust analytical pipelines for analysis of a wide range of next generation sequencing data. Support ongoing development projects in bioinformatics and data management.
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4+ years of experience as a Power BI Developer/Data Engineer, experience with DW development and support, knowledge of dimensional modeling and data storage, advanced SQL knowledge, working experience with ETL environments, knowledge of PowerBI and other BI/DW tools, basic understanding of git, strong English communication skills.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
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Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
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Refers all quality control data to Clinical Laboratory Scientist or to Clinical Laboratory Scientist Coordinator. Medical Lab Scientist (MLS) or Medical Lab Technologist (MLT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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