This role pays less than
92%
of similar roles. Most pay
$126,800–$169,087
— the shaded band above.
At the midpoint, this role pays about
$110k
versus about
$148k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
297 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 271 roles with salary data.
The Data Scientist II serves as a technical expert focused on solving critical business problems through exploratory data analysis, feature engineering, and building predictive models. This role involves translating complex business requirements into actionable financial insights such as risk scoring, fraud detection, and algorithmic trading. The individual will develop solutions using generative AI and agentic AI technologies to automate data analysis and enhance decision-making processes. Key responsibilities include overseeing experimentation, model evaluation, and feature design while mentoring junior team members. Required skills include proficiency in Python, R, or SQL, along with experience in prompt engineering, fine-tuning, and evaluating generative models. Preferred technical competencies include using Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and visualization tools like Tableau or Power BI to manage data warehousing and machine learning tasks within a corporate financial context.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Analyze complex datasets to generate insights, make predictions, and solve core business problems.
Build and validate predictive models for financial use cases like risk scoring and fraud detection.
Translate complex business problems into specific analytical and AI approaches.
Own the entire lifecycle of experimentation, model evaluation, and feature design.
Develop and implement solutions using generative AI and agentic AI technologies to automate data analysis.
Support prompt engineering, RAG design, and responsible AI practices.
Mentor junior data scientists to improve the technical quality of their outputs.
Partner with engineers to ensure machine learning solutions are deployable and useful.
What we're looking for
A Bachelor's degree (preferably in Computer Science or Data Science) and at least 5 years of experience, or a Master's degree and at least 4 years of experience.
Proficiency in programming using 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.
Knowledge of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch (preferred).
Experience with Tableau and Power BI visualization tools (preferred).
Python
R
SQL
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI
Machine Learning
Large Language Models
Data Warehousing
Statistics
Advanced Analytics