[Hiring] AI-First Data Scientist @Cscgeneration 2

Role Description

This role involves working as an AI-First Data Scientist who combines deep statistical and machine learning expertise with modern MLOps tooling and automation instincts. You will design and deploy production-ready ML solutions, leveraging cutting-edge platforms like AWS Sagemaker and advanced causal inference techniques.

• Develop and deploy end-to-end ML pipelines using modern MLOps practices and cloud-native platforms.
• Conduct causal analysis and treatment effect estimation using DML, causal forests, uplift modeling, and other counterfactual inference techniques.
• Build, train, and optimize predictive and prescriptive models for various use cases.
• Integrate models into production systems and monitor their performance using advanced observability tools.
• Partner directly with business leaders to translate ambiguous business problems into machine learning frameworks.
• Collaborate with engineering teams to improve data pipelines and maintain version-controlled, CI/CD-enabled ML workflows.
• Continuously research and apply emerging techniques in AI.
• Take complex, high-impact problems end to end, from exploration to production deployment.
• Design robust experiment and quasi-experiment setups and recommend approaches when fully randomized tests are not feasible.

Qualifications

• 5+ years of experience in applied data science and machine learning engineering.
• Master or PhD degree in Data Science, Computer Science, Statistics, Economics, or related quantitative field.
• Expertise in causal inference frameworks, especially Double Machine Learning (DML).
• Strong proficiency in Python or R, with hands-on experience in SQL, Jupyter, Git, and cloud ML platforms.
• Familiarity with MLOps tools for experiment tracking, model registry, reproducibility, and automated deployment.
• Experience working with large datasets and data engineering best practices.
• Strong experience applying advanced causal and time-series methods in real-world settings.
• Demonstrated ability to independently take ambiguous, cross-functional problems from zero to a deployed ML solution.

Benefits

• Executive Access: Work directly with brand CEOs and senior leadership.
• AI-First Skill Building: Get hands-on with the most advanced AI tools in the market.
• Accelerated Career Path: High performers are quickly entrusted with greater responsibility.
• Competitive Benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision, and employee discounts.

Our interview process

• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation.
• Step 2: You’ll complete a short AI or product-building challenge.
• Step 3: Participate in deep-dive interviews with CSC leadership.
• Step 4: Offer. We’ll move fast for the right candidate.