Data Scientist II

AbbVie-posted 3 months ago

$82,500 - $157,500/Yr

Full-time • Entry Level

Hybrid • North Chicago, IL

Chemical Manufacturing

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Come to work each day with an inclusive and collaborative Business technology team! As an Data Scientist in AbbVie 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. This is a hybrid role based in Lake County, IL.

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.
Participate in the development in 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.

Bachelor's Degree 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, Python etc.
Academic experience in enhancing the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis.
Academic experience working with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
Academic experience using visualization techniques for presenting data and analysis as dashboard in tools such as R/Shiny, GGPlot, Tableau, Qlik and Custom web-based solutions.
Excellent written and verbal communications skills are required.
Comfortable working in a fast paced, highly collaborative, dynamic work environment.
Able to come onsite 3 days a week.

Background in life sciences or work experience in the pharmaceutical industry.
Knowledge of Agile Project management processes.
Knowledge of devops processes.
Experiences in Personalization, Search, Deep Learning, Operations Research.
Working experience of OS Linux/Unix.
NLP, Data mining, text mining etc.
Working knowledge of Data Science tools like Dataiku, AWS SageMaker.

Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k) to eligible employees
Short-term incentive programs

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