Data Scientist II

Allergan

North Chicago (IL)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Paid time off
401(k)

Job summary

AbbVie is seeking a Data Scientist II to tackle critical business needs through exploratory data analysis, feature engineering, and building predictive models. The role focuses on translating model outputs into actionable financial insights and developing solutions using generative AI to automate data analysis in financial contexts.

The position requires proficiency across data warehousing, statistics, and machine learning, with collaboration across engineering, analytics, and finance teams to

Qualifications

  • Bachelor’s degree in Computer Science or Data Science with 5+ years of experience or Master’s degree with 4+ years.
  • Strong programming skills in Python, R, or SQL.
  • Hands-on data science and analytics experience.
  • Experience with prompt engineering, fine-tuning, and evaluating generative or agentic models.

Responsibilities

  • Analyze complex datasets to generate insights and predictions.
  • Collaborate with engineering and business analysts to implement solutions.
  • Lead solutioning for finance use cases across predictive analytics, 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 output quality.
  • Support prompt engineering, RAG design, evaluation frameworks, and responsible AI practices.
  • Partner with architects and ML engineers to ensure deployable solutions.

Skills

Python
R
SQL
data science
prompt engineering
multitask
learn new technologies

Education

Bachelor’s degree in Computer Science or Data Science
Master’s degree in relevant field

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI

Job description

Company Description
About 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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

Job Description

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

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

  • The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemay ultimately pay more or less than the posted range. This range may bemodified in thefuture.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
  • This job is eligible toparticipate in our short-term incentiveprograms.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employer remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

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

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

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