Senior Data Scientist

AbbVie; North Chicago (IL); On-site; USD 85,000 - 162,000; Full time

Job summary

AbbVie’s Operations Quality Data Analytics group seeks a Data Scientist to build predictive and prescriptive models and oversee end-to-end data science applications across the organization. You will collaborate with data scientists, business partners, and senior leaders to deliver insights and drive decisions with rigor and compliance.

The role emphasizes cross-functional collaboration, mentoring, and development of KPIs and dashboards to support AbbVie’s manufacturing and quality processes.

Qualifications

• Bachelor’s degree in a quantitative field; Master’s preferred.
• 6+ years’ experience in analytics in a cGMP or life sciences context.
• Proficiency with statistical programming packages (R/SAS/JMP/Minitab) and data visualization tools.
• Strong SQL and data modeling, with ability to build automated ETL processes.

Responsibilities

• Operate cross-functional with data scientists, senior leaders, and business partners.
• Develop predictive/prescriptive models using statistical, ML, and Gen AI techniques.
• Deliver end-to-end data science applications, studies, and POCs with project oversight.
• Mentor junior team members and ensure data integrity and stakeholder confidence.

Skills

Machine learning

Statistical analysis

Python

SQL

Data visualization

Education

Bachelor's degree in quantitative field

Master’s degree preferred

Tools

R

SAS

JMP

Minitab

Job description

• Compensation: USD 84,500 - USD 162,000 - yearly

Company Description

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 Description

AbbVie’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.

• 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

Qualifications

• Bachelor’s degree in a quantitative field such as Advanced Analytics, Statistics, Engineering, Operational Research, Computer Science, or Econometrics AND/OR applied science field such as Chemistry, Pharmacy, Chemical Engineering, or Biology. Master’s degree preferred.
• 6+ years’ business experience in business analytics, manufacturing data analytics, data mining, or statistical modeling in a cGMP related industry. Manufacturing life science experience is preferred.
• Knowledge of global regulatory requirements for pharmaceutical, medical devices, and combination products. Knowledge of FDA Quality Systems, pharmaceutical products, and Medical Device Reporting regulations (21 CFR 803, 820 and 211) is preferred.
• Ability to execute analytical investigations methodically while outputting reproducible insights and analyses.
• Software experience – Demonstrated proficiency with at least one statistical programming package (e.g., R, SAS, JMP, Minitab). Familiarity in Python, SQL, relational databases (Teradata, Oracle etc.), and/or BI tools (PowerBI, Qliksense). Experience with data visualization/pipelining tools (e.g., Spotfire, Tableau, Pipeline Pilot etc.) and automated statistical process control platforms (e.g., Discoverant, Statistica, NWA, etc.) is preferred.
• Proficiency in SQL, cloud architecture, database administration, and relational database management with the capability to create automated ETL processes and data models.
• Strong problem solving and interpersonal skills and ability to work as part of a diverse team including data engineers, IT, and business analytics teams.
• Strong communication skills, written and verbal, and strong attention to detail.
• Lean Six Sigma Greenbelt/Blackbelt certification is preferred.

Additional Information

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company'ssoleandabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable 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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