Associate Data Scientist I

AbbVie

Quick summary

Work type: On-site
Location: North Chicago, IL
Posted: 9 days ago
Closes: Jun 18, 2126
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k

$97k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 36 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 5 roles with salary data.

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At a glance

TL;DR · Associate Data Scientist I

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The Associate Data Scientist I role at AbbVie involves working closely with clinical, research, and commercial data to address critical business needs through advanced analytics and predictive modeling. This technical expert will analyze complex datasets using statistical models and machine learning techniques to generate actionable insights that influence leadership decisions. Day-to-day responsibilities include developing innovative solutions, adhering to corporate standards for data security and compliance, and effectively communicating project objectives and progress. The ideal candidate possesses a Bachelor’s degree in computer science or a related field, with proficiency in Python, R, SQL, and familiarity with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch. Experience with Tableau and Power BI for data visualization is preferred, as well as hands-on experience applying AI/ML in clinical or pharmaceutical contexts to solve real-world business problems.

Skills

Python R SQL Pandas NumPy Scikit-learn TensorFlow PyTorch Tableau Power BI

What you'll do

Analyze complex datasets to generate insights and solve business problems.
Apply statistical models and machine learning to influence leadership decisions.
Adapt approach based on project objectives and requirements.
Present project objectives and progress effectively to stakeholders.
Adhere to corporate standards for data security and compliance.

What we're looking for

Bachelor’s degree in computer science, data science, or a relevant field.
Proficiency in Python, R, or SQL for data analysis.
Experience with statistical models and machine learning techniques.
Ability to generate insights from complex datasets and influence leadership decisions.
Knowledge of data visualization tools like Tableau and Power BI (preferred).
Hands-on experience applying AI/ML in clinical/pharmaceutical contexts (preferred).