About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job DescriptionAbbVie’s Operations Quality Data Analytics group is continuously innovating to empower the AbbVie network with superior Quality, Product, and Process analytics that enable data-driven insights and decision-making at every organizational level. This Data Scientist role will have wide-ranging analytics experience to work within a diverse Operations business. The Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine-learning methodologies. The Data Scientist will also ensure end-to-end delivery of assigned data science applications, studies, and POCs through oversight of project teams and key technology partnerships.
Consulting and collaboration skill sets are key to success in this role. This demanding role will have a highly visible impact to senior leaders across Operations.
- Operate cross-functionally in a highly collaborative manner with fellow data scientists, senior functional leaders, and business partners.
- Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business needs.
- Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, deep learning, predictive modeling, and Gen AI.
- Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie while mentoring and coaching team members.
- Ensure that data presented to key stakeholders and presentations maintain study integrity. This role is required to support multiple use cases and should ensure that each work product is fit for purpose
- If assigned, participates in functional innovation and process improvement initiatives
- Ensures adherence to federal regulations and applicable local regulations, Good Manufacturing Practices (GMPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- Responsible for coaching and mentoring junior team members
- Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
- Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 4+ years (BS), 2+ years (MS) or 0+ years (PhD) of related experience
- Intermediate-level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
- Intermediate proficiency with visualization tools like PowerBI, Spotfire, Tableau or equivalent
- Intermediate proficiency with data science platforms like Dataiku, Snowflake, Databricks
- Experience with Machine Learning and other advanced analytics techniques preferred
- Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
- Demonstrated problem-solving and analytical skills
- Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- 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.
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.
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
Skills Required
- Bachelor’s or Master’s degree in statistics, mathematics, analytics, bioinformatics, data science, or an equivalent field
- 0+ years of related experience with a PhD, 2+ years with a Master’s degree, or 4+ years with a Bachelor’s degree
- Intermediate proficiency in R, Python, or other statistical packages
- Intermediate knowledge of statistical and data-mining techniques
- Intermediate proficiency with visualization tools such as Power BI, Spotfire, or Tableau
- Intermediate proficiency with data science platforms such as Dataiku, Snowflake, or Databricks
- Effective communication of analytical and technical concepts to nontechnical audiences
- Demonstrated problem-solving and analytical skills
- Successful execution in fast-paced environments and ability to manage multiple priorities
- Experience with machine learning and advanced analytics techniques
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
-
Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
-
Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
-
Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
