AbbVie

Job Title: Data Scientist (Hybrid)

Location: Atlanta, GA

Duration: 10 Months

Interview Process: Webcam

Note: Hybrid onsite position. Locals required.

Job Description:
In this role, you will analyze large and/or complex datasets, develop predictive models, and derive actionable insights that drive key business decisions.

We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.

Key Responsibilities:

· Collect, clean, and analyze large, complex datasets from multiple sources.

· Develop predictive models and machine learning algorithms to support decision-making and improve business performance.

· Translate business problems into data-driven solutions with measurable impact.

· Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.

· Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.

· Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.

· Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.

· Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.

· Stay current with emerging fraud techniques, industry best practices, and data science tools.

Required Qualifications:

· Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field.

· 10+ years of professional experience in data science.

· Proficient in Python, SQL, SAS and machine learning techniques.

· Experience in responsible use of AI if used in solution design.

· Strong analytical skills and the ability to identify patterns and trends from data.

· Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure).

· Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.

· Experience with visualization tools like Tableau and Power BI.

Top Skills & Years of Experience:

· Familiarity with graph analytics or network-based fraud detection tools – Highly Desired

· Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime – Highly Desired

· Strong communication skills with the ability to explain technical solutions to non-technical stakeholders – Highly Desired

· Bachelor’s or Master’s degree in a relevant field – Required

· Professional experience in data science – Required – 10 Years

· Proficient in Python, SQL, SAS and machine learning techniques – Required – 5 Years

· Experience working with large datasets and cloud platforms (AWS, GCP, Azure) – Required – 5 Years

· Understanding of fraud detection techniques (anomaly detection, behavioral modeling, network analysis) – Required

· Experience with Tableau and Power BI – Required – 5 Years

· Experience in responsible AI use in solution design – Required – 5 Years

· Strong analytical skills and pattern recognition – Required

#GSKIT

Job Types: Full-time, Contract

Pay: $65.00 - $73.00 per hour

Expected hours: 40 per week

Schedule:

• 8 hour shift

Work Location: Hybrid remote in Atlanta, GA 30308