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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Proficiency in Databricks, Apache Spark, and related big data technologies.
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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As a Data Scientist II in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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3+ years of experience working as an Agile Scrum Master in a software development and/or data engineering environment (previous experience supporting mobile app or data engineering-related projects strongly preferred.
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Join our dynamic team as full-time Machine Learning Scientist for a hybrid position located in Lake Forest, IL. In this role, you'll be a vital part of a dynamic R&D team, connecting scientists in medicinal and computational chemistry.
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Executes HEOR research using internal data sets including writing protocols and statistical analysis plans, defending in protocol review committee, and executing research with analyst to writing final reports or publications using prospective, retrospective, modeling, PRO's, meta analyses and hybrid designs.
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Experience with machine learning and AI platform integration is highly desirable. Implementing and optimizing machine learning models to enhance business decision-making. This includes creating dashboards, visualizations, algorithms, machine learning models, and business tools for use across the organization.
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5+ years of experience as a Data Engineer or in a similar role. Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Data Governance: Ensure data governance policies are followed, including data security, data privacy, and compliance with regulations.
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Minimum 7 years’ experience working directly with manufacturing and laboratory equipment (e.g., CTUs & CRTs, upstream and downstream equipment, Filler Machine, analytical lab equipment, autoclave, AKTA, etc.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Build database warehouses using ETL tools including Informatica and SSIS. Perform data visualization and analysis using Tableau and Power BI. Make and test modifications to database structures.
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Utilize data analytics tools (SQL, Spotfire, Power BI, etc.) Assist the team as they fine-tune APIs connected to data in Cloudera, ensuring alignment with business needs and resolving integration issues.
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Serve as the SQL database administrator, ensuring data integrity, security, and disaster recovery strategies. Familiarity with ERP system upgrades, data migration, and integration. Serve as the SQL database administrator, ensuring data integrity, security, and disaster recovery strategies.
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Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner.
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data machine jobs Title: machine learning engineer in North Chicago, IL
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