Senior Associate Data ScienceMachine Learning Chicago Hybrid

Publicis Sapient is a digital transformation partner helping established organizations get to their future digitally enabled state both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods fusing strategy consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next our 20000 people in 53 offices around the world combine experience across technology data sciences consulting and customer obsession to accelerate our clients businesses through designing the products and services their customers truly value.

As a Senior Associate Data Scientist you will be responsible for developing and deploying machine learning models at scale. You will work closely with cross-functional teams to design implement and optimize data-driven solutions that drive business impact. Your expertise in ML engineering will be crucial in building robust scalable and efficient AI systems.

• Design develop and deploy machine learning models to solve complex business problems.
• Collaborate with data engineers product managers and business stakeholders to implement end-to-end ML solutions.
• Optimize and scale machine learning pipelines for performance and efficiency.
• Ensure the reliability scalability and maintainability of AI/ML systems in production.
• Utilize cloud-based platforms (AWS GCP Azure) for model training deployment and monitoring.
• Implement best practices in data preprocessing feature engineering and model evaluation.
• Stay updated with the latest advancements in ML engineering and AI technologies.

• 5 years of experience in machine learning data science or AI engineering.
• Strong expertise in ML model development deployment and optimization.
• Proficiency in Python TensorFlow PyTorch or other ML frameworks.
• Experience with MLOps CI/CD pipelines and model monitoring.
• Hands-on experience with cloud-based ML platforms (AWS SageMaker GCP AI Platform Azure ML).
• Strong understanding of data engineering data pipelines and big data technologies.
• Excellent problem-solving and analytical skills.

• Experience in building and deploying large-scale AI/ML systems.
• Knowledge of Kubernetes Docker and other containerization technologies.
• Expertise in time-series forecasting NLP or computer vision.
• Certifications in ML engineering MLOps or cloud platforms.

Additional information:

Salary Range: $117000 - $160000

The ranges shown above represent a grouping of relevant ranges currently in use at Publicis Sapient. The actual range for this position may vary based on location and the specific skills required for therole.

Benefits include:

• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce Publicis Sapient is committed to Equal Employment Opportunity without regard for race color national origin ethnicity gender protected veteran status disability sexual orientation gender identity or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability you may contact us at