Data Scientist II Full-time

Data Scientist II

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 Data Scientist II is a technical expert that will help address critical business needs by focusing on exploratory data analysis, feature engineering, building and validating predictive/statistical models, and translating model outputs into actionable financial insights (e.g., risk scoring, fraud detection, algorithmic trading). Additionally, the role involves developing and implementing solutions using generative AI and agentic AI technologies to automate data analysis, enhance predictive modeling, and support intelligent decision-making processes within financial contexts.

A continuous drive to improve existing methods and processes is essential. This position is expected to demonstrate proficiency in a broad range of techniques and methods for data and health sciences, including data warehousing, statistics, and/or machine learning.

Responsibilities:

• Analyze complex datasets to generate insights, make predictions, and solve business problems.
• Collaborate with engineering teams and business analysts to implement solutions and communicate findings.
• Lead solutioning for finance use cases across predictive analytics, classical ML, and gen AI.
• Translate business problems into analytic and AI approaches.
• Own experimentation, model evaluation, and feature design.
• Work with junior data scientists to raise the technical quality of outputs.
• Support prompt engineering, RAG design, evaluation frameworks, and responsible AI practices.
• Partner with architects and ML engineers to ensure solutions are deployable and useful.
• 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 – preferably in Computer Science or Data Science – and at least 5 years of relevant experience OR Master's degree in relevant field and at least 4 years of experience.
• Programming skills in Python, R, or SQL.
• Hands-on experience in data science and data analytics.
• Demonstrated experience in prompt engineering, fine-tuning, and evaluating generative or agentic models in a corporate context.
• 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.

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.

Pay Range: $78500 – 141000 USD

Where We Work:

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.