Associate Data Scientist

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Purpose Statement:
We are seeking an Associate Data Scientist to join our dynamic team and contribute to the development of innovative data solutions. This role involves collaborating with data experts to develop datasets, building ML/AI models, and collaborating with teams to support data-driven decisions for our US Commercial Organization. The ideal candidate will possess strong analytical skills, a passion for data science, and a desire to learn and grow in the field.

What you’ll be doing:

The Associate Data Scientist will work under the guidance of senior team members to design, develop, and deploy analytical solutions. You will use statistics, machine learning, artificial intelligence and data engineering techniques to provide actionable insights that drive efficiency, support decision-making, and enhance products. As part of a collaborative team, you will contribute to various projects and have the opportunity to develop your skills in data science practices.

Core Job Responsibilities:

• Construct and develop predictive/analytical models or Gen AI applications that are reliable and scalable.
• Maintain and optimize existing machine learning models.
• Aid in the implementation of machine learning models into production environments.
• Utilize new tools and techniques to increase performance, automation, and scalability.
• Report, visualize, and communicate findings to internal stakeholders regularly.
• Engage in a "test and learn" team environment with a focus on continuous improvement and action.
• Participate in the Data Science Community of Practice to foster continuous growth in knowledge and enhance collaborative skills.
• Work with stakeholders to understand business questions and define requirements.
• Examine relevant data to develop an analytics plan that answers key business questions.
• Handle datasets of varied sizes and complexity, including structured and unstructured data.
• Transform data into actionable insights through data transformation and verification.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Engineering, Operational Research, Computer Science, or Mathematics. A Master’s degree is a plus.
• 1-3 years of business experience in data analysis, data engineering, and predictive/simulation modeling, or strong academic performance in related fields.
• Biopharmaceutical or healthcare experience a plus.
• Experience in developing ML/AI models for real world business applications.
• Experience with cloud big data environments such as AWS, GCP or MS Azure
• Familiarity with visual workflow development analytics tools such as Dataiku or Alteryx
• Understanding of algorithmic design and experience with analytical experimentation.
• Proficiency in Python and SQL a must and experience with relevant BI tools (e.g., Power BI, Tableau) a plus.
• Familiarity with data manipulation and analysis libraries to support quick iteration and experimentation.
• Strong problem-solving skills and an eagerness to work collaboratively as part of a diverse team.
• Excellent communication skills, both written and verbal.
• A team-oriented attitude with a keen interest in personal and professional development.

Additional Information

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, 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