Job Description

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at  . Follow @abbvie on  X ,  Facebook ,  Instagram ,  YouTube ,  LinkedIn and  Tik Tok .

Job Description

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***

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

The Data Scientist will assist in exploratory data analysis, explanatory data analysis, execution of analysis plans, develop 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 (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
• 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, we generate reports with findings and help to communicate these effectively via written, oral and visual Dashboard methods.

Qualifications

Required:

• 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 (at minimum) with statistical languages and packages, such as R, Python etc. Expectation is solid skill in at least one of of python or R.
• Academic experience (at minimum) in enhancing the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model – such as capstone projects.
• Academic experience (at minimum) 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 (at minimum) using visualization techniques for presenting data and analysis as dashboard in tools such as R/Shiny, GGPlot, Tableau, Qlik and Custom web-based solutions.
• Familiarity with Amazon Web Services, Apache Spark, NumPy, TensorFlow etc. is a plus.
• Excellent written and verbal communications skills are required.
• Comfortable working in a fast paced, highly collaborative, dynamic work environment

Preferred:

• 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 etc.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​​

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• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​​

• This job is eligible to participate in our short-term incentive programs. ​​

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Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

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

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