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Senior Data Scientist I

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North Chicago, IL

  1. Research & Development
  1. Full-time
REF27636M

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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 www.abbvie.com. Follow @abbvie on TwitterFacebookInstagramYouTube and LinkedIn


Job Description

Key Responsibilities

  • Develop predictive models using statistical and machine-learning methodologies using complex modeling techniques and communicate insights.
  • Utilize knowledge of statistical and machine learning methods, with expertise in modeling and business analytics.
  • Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements.
  • Utilize experience with statistical languages and packages, such as R and Python.
  • Design and develop processes and systems to consolidate and analyze data while considering variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
  • Enhance the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model.
  • Work with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
  • Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling.
  • Generate reports with findings and communicate these effectively via written, oral and visual Dashboard methods.
  • Utilize experience with Failure Mode and Criticality Analysis.

Qualifications

Must possess a Bachelor’s degree or foreign academic equivalent in Data Science, Analytics, Engineering or a highly related field of study with at least 5 years of related experience.

 

In the alternative, employer will accept a Master’s degree in the aforementioned fields.

 

Each educational alternative with at least 1 year of experience in the following:

 

  1. knowledge of statistical and machine learning methods, with expertise in modeling and business analytics;
  2. experience with statistical languages and packages, such as R and Python;
  3. enhancing the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model;
  4. experience with Failure Mode and Criticality Analysis.

 

Apply online at https://careers.abbvie.com/en. Refer to Req ID: REF27636M. 


Additional Information

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 and long-term incentive programs.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html 

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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