Senior Data Scientist

About the job

About the Role We are looking for an experienced AI & ML Engineer to join our dynamic, cross-functional team. You’ll build and optimize AI-driven solutions and data pipelines, working with modern cloud and data technologies to deliver impactful results. What You'll Do Responsibilities: • Design, build, and maintain scalable data pipelines and APIs using Python, TypeScript/JavaScript, and cloud platforms like Azure, AWS, or GCP, integrating with business systems via REST APIs, SOAP, or event-driven architectures. • Build, train, and productionize models for entity matching, OCR/NLP extraction, and recommendations. • Serve models as APIs and workers (Python/FastAPI; Node/TypeScript where needed); optimize latency, throughput, and cost. • Leverage orchestration tools (Prefect/Airflow/Databricks/Azure ML) to manage workflows, automate model training, and apply MLOps best practices. • Ensure security, compliance, and data governance. • Stay current with advancements in AI and machine learning to drive innovation, improve existing solutions, and adapt to evolving technologies. • Contribute to Scrum-based agile processes, including sprint planning and retrospectives.

Requirements

• AI
• ML
• Data Pipelines
• Python
• TypeScript
• JavaScript
• Cloud Technologies

Qualifications

• Bachelor's in Computer Science, Engineering, or related field.
• 5+ years of experience in data science, AI, and software engineering.

Preferred Technologies

• AI
• ML
• Data Pipelines
• Python
• TypeScript
• JavaScript
• Cloud Technologies

Benefits

• Hybrid working model
• Comprehensive employee Leave policy
• Career progressions through Internal job opportunities
• Continuous learning and development opportunities
• Medical Insurance coverage for employees

About the company

First Advantage (Nasdaq: FA) is a leading provider of mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands. Headquartered in Atlanta, GA, First Advantage has an internationally distributed workforce spanning 19 countries with about 5,500 employees.