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Data Scientist II

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: 6AM City, LLC
Part Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 82500 - 157500 USD Yearly USD 82500.00 157500.00 YEAR
Job Description & How to Apply Below

Job Description

Come to work each day with an inclusive and collaborative Business technology team! As a Data Scientist in Abb Vie's Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

Hybrid role based in Lake County, IL

Purpose:

We are looking for a Data Scientist with entry-level analytics experience, preferably in an operations business which includes one or more of Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.

The Data Scientist will assist in exploratory data analysis, explanatory data analysis, execution of analysis plans, development of predictive models using statistical and machine-learning methodologies with complex modeling techniques in collaboration with more senior team members and communicate insights to the team.

Responsibilities
  • Assist the team with the analysis of business requirements and developing solution recommendations which anticipate the future impact of changing business requirements.
  • Participate in the design and development of processes and systems to consolidate and analyze data. Considerations include variety, volume, data quality, and velocity.
  • Participate in the development of advanced analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
  • In collaboration with more senior team members, generate reports with findings and help to communicate these effectively via written, oral and visual Dashboard methods.
Required Qualifications
  • Bachelor’s Degree or equivalent education plus 5 years of experience, Master’s Degree or equivalent education plus 4 years of experience.
  • Minimum undergraduate knowledge of statistical and machine learning methods, with knowledge in modeling and business analytics.
  • Academic experience with statistical languages and packages, such as R or Python; solid skill in at least one of Python or R.
  • Experience enhancing the data collection process by consolidating data, standardizing, optimizing, and performing exploratory data analysis before using it in ML models.
  • Experience working with modern relational databases and/or distributed computing platforms (Big Data) and their query interfaces, such as SQL, Spark, PySpark, and Hive.
  • Experience using visualization techniques for presenting data and analysis as dashboards in tools such as R/Shiny, GGPlot, Tableau, Qlik, and custom web-based solutions.
  • Familiarity with Amazon Web Services, Apache Spark, Num Py, Tensor Flow, etc., is a plus.
  • Excellent written and verbal communication skills.
  • Comfortable working in a fast-paced, highly collaborative, dynamic work environment.
  • Able to come onsite 3 days a week.
Nice to Have
  • Background in life sciences or work experience in the pharmaceutical industry.
  • Knowledge of Agile Project management processes.
  • Knowledge of Dev Ops processes.
  • Experience in Personalization, Search, Deep Learning, Operations Research.
  • Working experience with OS Linux/Unix.
  • NLP, Data mining, text mining, etc.
  • Working knowledge of Data Science tools like Dataiku, AWS Sage Maker, etc.
Compensation and Benefits
  • Salary range: $82,500–$157,500 (base pay).
  • Comprehensive benefits package including paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) for eligible employees.
  • Eligible to participate in short-term incentive programs.

Abb Vie is an equal opportunity employer and is committed to operating with integrity, driving innovation, and serving our community. Equal Opportunity Employer / Veterans / Disabled.

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