Company:
AbbVie
Location: North Chicago
Closing Date: 04/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
Key Responsibilities
Develop predictive models using statistical and machine-learning methodologies using complex modeling techniques and communicate insights.
Utilize knowledge of statistical and machine learning methods, with expertise in modeling and business analytics.
Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements.
Utilize experience with statistical languages and packages, such as R and Python.
Design and develop processes and systems to consolidate and analyze data while considering variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
Enhance the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model.
Work with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling.
Generate reports with findings and communicate these effectively via written, oral and visual Dashboard methods.
Utilize experience with Failure Mode and Criticality Analysis.
Key Responsibilities
Develop predictive models using statistical and machine-learning methodologies using complex modeling techniques and communicate insights.
Utilize knowledge of statistical and machine learning methods, with expertise in modeling and business analytics.
Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements.
Utilize experience with statistical languages and packages, such as R and Python.
Design and develop processes and systems to consolidate and analyze data while considering variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
Enhance the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model.
Work with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling.
Generate reports with findings and communicate these effectively via written, oral and visual Dashboard methods.
Utilize experience with Failure Mode and Criticality Analysis.
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