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Associate Data Scientist IAbbVie • United States
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Associate Data Scientist I

AbbVie
  • US
    United States
  • US
    United States
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À propos

Associate Data Scientist I
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. The Associate Data Scientist I is a technical expert that will work with clinical, research, or commercial data to help address critical business needs by analyzing data, using statistical models and applying machine learning to generate insights, make predictions, and derive actionable recommendations. A continuous drive to improve existing methods and processes is essential. Demonstrate proficiency in a broad range of techniques and methods for data and health sciences, including software development, data warehousing, statistics, and/or machine learning. Responsibilities: Analyze complex datasets to generate insights, make predictions, and solve business problems. Use statistical models, machine learning, and advanced analytics to influence leadership decisions. Understand the broad objectives of the project and your role in achieving those objectives; modify approach when required. Effectively organize and present project objectives and progress. Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security. Qualifications Required Qualifications: Bachelor's degree in computer science, data science or relevant field. Programming skills in Python, R, or SQL. Prior exposure to data science or data analytics. Ability to multitask and work within timelines. Demonstrated ability to learn, understand and master new technologies. Preferred Qualifications: Knowledge of popular libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch. Experience with Tableau and Power BI visualization tools. Hands-on experience using large language models and machine learning algorithms. Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts. Additional Information The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html Recruitment Fraud Alert AbbVie will never request sensitive personal information (such as bank account details, social security numbers, or payment of any kind) during the recruitment process. If you suspect you have received a fraudulent offer or communication claiming to be from AbbVie, please do not respond, open any attachments, or click on any hyperlinks. If you have any questions or concerns regarding the authenticity of a communication alleged to have been made by or on behalf of AbbVie, please contact us immediately. Protect yourself by verifying job offers and communications. Your safety is important to us. Yes, 5% of the Time Pay Range: $58656 - 103500 USD Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.
  • United States

Compétences linguistiques

  • English
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