Associate Data Scientist I

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Posted
84 days ago
Freshness
Confirmed live yesterday
Closes
Jun 18, 2126

Market check

Salary context

How this pay compares to similar roles

Similar $157k
$96k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$186,625.

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.

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At a glance

TL;DR · Associate Data Scientist I

The Associate Data Scientist I serves as a technical expert working with clinical, research, or commercial data to address critical business needs through analysis and modeling. The role involves analyzing complex datasets to generate insights, make predictions, and provide actionable recommendations to influence leadership decisions. Day-to-day responsibilities include utilizing statistical models, machine learning, and advanced analytics while ensuring adherence to corporate standards like GxP compliance and data security. Candidates should possess proficiency in Python, R, or SQL, along with experience in data warehousing and software development. Preferred skills include knowledge of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch, as well as experience with Tableau, Power BI, and large language models. The role specifically addresses technical challenges within clinical and pharmaceutical contexts to solve complex problems through advanced analytics.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Analyze complex datasets to generate insights and solve critical business problems.
  • Apply statistical models and machine learning to make predictions and provide actionable recommendations.
  • Use advanced analytics to influence leadership decisions.
  • Develop and improve existing data methods and processes.
  • Organize and present project objectives and progress effectively.
  • Ensure compliance with corporate standards, including GxP regulations and data security protocols.

What we're looking for

  • Bachelor’s degree in computer science, data science, or a 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.
  • Knowledge of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch (preferred).
  • Experience with Tableau and Power BI visualization tools (preferred).
  • Hands-on experience using large language models, machine learning algorithms, or AI/ML in clinical/pharmaceutical contexts (preferred).

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