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# Data Scientist- Abbott Park, IL

- **Company:** Abbott Laboratories
- **Location:** North Chicago, IL, United States
- **Experience:** Starter
- **Salary:** $61,300.0 - $122,700.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Data Analysis, Artificial Neural Networks, Big Data, C++ (Programming Language), Cluster Analysis, Computer Programming, Data Visualization, Linux, Apache Hadoop, Python (Programming Language), Machine Learning, Mathematical Programming, MongoDB, Scala (Programming Language), Computational Statistics, Unstructured Data, Apache Spark, Information Technology, Data Analytics
- **Published:** October 29, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3479381646&tx=JT10193UTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Applies in-depth knowledge of the spectrum of mainstream commercial and open-source data science/analytics software tools,their constraints, advantages, disadvantages and areas of application; Has advanced skill in using at least one such tool.
 * Advanced programming skills.
 * Ability to interpret an existing script of high complexity.
 * Applies knowledge to select appropriate data to use to solve problems at a faster rate
 * Applies extensive knowledge of a range of bestpractice advanced modelling techniques
 * Produces complex data visualizations.
 * Mentors' others to drive human resource development in the organization, * Bachelors Degree (± 16 years) in Computer Science, Data Analytics, Data Science or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred. Work-related experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree
 * 0-3 yrs experience or previous internship
 * Business acumen and experience with operational or strategic systems
 * Advanced analytics knowledge and application in the fields of (a) Statistics and (b) Mathematical Programming
 * Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software.
 * Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
 * Prior experience/education in life sciences or healthcare preferred

Preferred:

 * Higher Degree in Life or Physical Science, Bioengineering, Biomedical Engineering, or closely related discipline is preferred

## Description

* Collaborates with cross-functional teams to understand data needs and identify new opportunities to transform data intoactionable insights that drive business decision
 * Designs and implements machine learning models and algorithms to solve complex business problems, ensuring they arescalable and maintainable.
 * Performs advance advanced statistical analysis on large datasets to uncover trends, significant data relationships and extractsinsights that inform strategic decisions.
 * Create comprehensive reports and visualizations to effectively communicate data-driven insights to stakeholders, ensuring clarityand impact
 * Chooses the appropriate machine learning algorithm for the given business problem/use case, understanding the trade-offsbetween various algorithms used.
 * Work closely with the business to iteratively refine analyses
 * Identifies opportunities for operational, process or system-level improvement
 * Considers issues from different perspectives and question information validity and assumptions.
 * Scopes and plans projects of small to intermediate size
 * Builds analytic data sets for exploration and modeling, including strong ability working with unstructured data sets
 * Develops an analysis plan that will answer key business questions and create value for the client. As the project progressesscans continuously for opportunities to adjust scope and targets based on the evolving knowledge.
 * Stays updated on trends and best practice approaches in data science
 * Gives direction and mentoring to less senior Data ScientistsSupervisory / Management Responsibility
 * Works with a high degree of autonomy, while remaining aligned to tactical and strategic objectives and seeks guidance when needed.
 * Completes assignments of intermediate complexity.
 * Makes a leading contribution to the development of a collaborative, goal-driven environment.
 * Highly influential in the development of less senior Data Scientists
 * Provides input into developing departmental and site processes and procedures.
 * Independently manages multiple complex projects
 * Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria
 * Experienced in creating and implementing machine learning algorithms and advanced statistics such as: regression, time-seriesforecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks