Sr. Data Scientist

Quick Facts

• Role: Senior Data Scientist
• Team: Data & AI
• Work model: Hybrid (3 days/week in a Cognizant or client office in Alpharetta, GA)
• Salary: $130,000–$150,000 annually (incentive eligible)

Description

Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments that drive business value and innovation. Collaborate with data engineers, machine learning engineers, cloud architects, product teams, and business stakeholders to deliver production-ready AI capabilities.

In This Role, You Will

• Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments
• Develop and optimize predictive models using Python and modern machine learning frameworks
• Leverage Google Cloud Platform (GCP), Databricks, and Kubernetes to operate AI and ML workloads
• Integrate large language models (LLMs) and generative AI frameworks into enterprise applications and business processes
• Establish monitoring, logging, and performance tracking processes to ensure model reliability, scalability, and governance in production environments

What You Need To Have To Be Considered

• Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field
• 5+ years of experience developing, deploying, and supporting machine learning or AI solutions in enterprise environments
• Strong programming experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Hands-on experience with Google Cloud Platform (GCP) and Databricks
• Experience deploying and managing containerized applications using Kubernetes
• Experience working with Generative AI technologies and frameworks, including Hugging Face, LangChain, or LLM APIs
• Knowledge of distributed computing and large-scale data processing architectures
• Experience building and consuming RESTful APIs and microservices
• Strong communication and collaboration skills with the ability to translate business requirements into technical solutions

Please note: this role is not able to offer visa transfer or sponsorship now or in the future.

These Will Help You Stand Out

• Experience with Vertex AI and other GCP-native machine learning services
• Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management
• Experience implementing model monitoring, observability, and governance frameworks
• Experience working with cloud-native data platforms and data engineering workflows
• Exposure to responsible AI, prompt engineering, and AI model evaluation methodologies

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan