Veterans Staffing
Engineer, Technology II Data Solutions
Veterans Staffing, Lake Forest, Illinois, United States, 60045
Job Opportunity At AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas. Key Responsibilities: Develop data solutions aimed to enable precision marketing to HCP's (healthcare practitioners/professionals). Work w/brand representatives, marketers, data scientists & omni-channel strategists to gather requirements & develop cloud-based solutions of integrated data sets & visualizations to help AbbVie more effectively engage w/ HCP targets. Work directly in Digital Brand Teams as a critical team member responsible for all data engineering & data science model operationalization. Qualifications: Education & Experience: Must have a Bachelor's in engineering, computer science, physics, mathematics, or quantitative life sciences, or related field and 5 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following: Extracting and combining multiple internal and external data sets; Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models; Pressure-testing data requirements to ensure accurate and meaningful data delivery; Performing data analysis and reconciliation on datasets of varying sizes and complexities; Compiling, presenting and explaining data to business stakeholders; Utilizing data analysis programming languages (e.g., SQL, Python, R, and Spark) Alternatively, would accept Master's in engineering, computer science, physics, mathematics, or quantitative life sciences, or related field and 2 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following: Extracting and combining multiple internal and external data sets; Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models; Pressure-testing data requirements to ensure accurate and meaningful data delivery; Performing data analysis and reconciliation on datasets of varying sizes and complexities; Compiling, presenting and explaining data to business stakeholders; Utilizing data analysis programming languages (e.g., SQL, Python, R, and Spark) Experience may be gained concurrently. Salary Range: $147,472 - $157,500 per year AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. Equal Opportunity Employer/Veterans/Disabled.
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas. Key Responsibilities: Develop data solutions aimed to enable precision marketing to HCP's (healthcare practitioners/professionals). Work w/brand representatives, marketers, data scientists & omni-channel strategists to gather requirements & develop cloud-based solutions of integrated data sets & visualizations to help AbbVie more effectively engage w/ HCP targets. Work directly in Digital Brand Teams as a critical team member responsible for all data engineering & data science model operationalization. Qualifications: Education & Experience: Must have a Bachelor's in engineering, computer science, physics, mathematics, or quantitative life sciences, or related field and 5 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following: Extracting and combining multiple internal and external data sets; Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models; Pressure-testing data requirements to ensure accurate and meaningful data delivery; Performing data analysis and reconciliation on datasets of varying sizes and complexities; Compiling, presenting and explaining data to business stakeholders; Utilizing data analysis programming languages (e.g., SQL, Python, R, and Spark) Alternatively, would accept Master's in engineering, computer science, physics, mathematics, or quantitative life sciences, or related field and 2 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following: Extracting and combining multiple internal and external data sets; Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models; Pressure-testing data requirements to ensure accurate and meaningful data delivery; Performing data analysis and reconciliation on datasets of varying sizes and complexities; Compiling, presenting and explaining data to business stakeholders; Utilizing data analysis programming languages (e.g., SQL, Python, R, and Spark) Experience may be gained concurrently. Salary Range: $147,472 - $157,500 per year AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. Equal Opportunity Employer/Veterans/Disabled.