Senior Associate Data Science/Machine Learning - Chicago - Hybrid

Sapient Corporation; Chicago (IL); On-site; USD 117,000 - 160,000; Full time

Benefits offered by this job

Learning opportunities

Competitive compensation

Flexible work-life balance

Comprehensive health benefits

Generous paid leave

Wellness programs

Job summary

Publicis Sapient in Chicago is seeking a Senior Associate Data Scientist to design, develop, and deploy ML models at scale across cross-functional teams.

You will own end-to-end ML solutions, optimize pipelines, and ensure production reliability while leveraging cloud platforms (AWS, GCP, Azure) for training and monitoring. This role emphasizes ML engineering excellence and impact across the business.

Qualifications

• 5+ years of experience in ML, 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.

Responsibilities

• Design, develop, and deploy machine learning models at scale.
• 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 for model training, deployment, and monitoring.

Skills

ML engineering

Model development

Python

TensorFlow

PyTorch

MLOps

CI/CD

Model monitoring

Cloud ML platforms

AWS SageMaker

GCP AI Platform

Azure ML

Data engineering

Tools

Kubernetes

Docker

Job description

Senior Associate Data Science - Chicago Hybrid

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.

Your Impact

• 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.

Qualifications

Skills & Experience

• 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.

Set Yourself Apart With

• 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: $117,000 - $160,000

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 the role.

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 [e-mail]