Sr. Data Scientist

Cognizant; Alpharetta (GA); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

401(k) plan

Disability insurance

Paid parental leave

Employee stock purchase plan

Job summary

Cognizant is seeking a Senior Data Scientist to design, develop, and deploy scalable ML and generative AI solutions. You will collaborate with data engineers, ML engineers, cloud architects, and business stakeholders to deliver production-ready capabilities.

The role emphasizes hybrid work with three days per week in Alpharetta, GA, and requires strong Python and ML framework skills, plus experience with GCP, Databricks, Kubernetes, and LLMs.

Qualifications

• Bachelor's or master's degree in computer science, data science, engineering, or related field.
• 5+ years of experience deploying and supporting ML/AI solutions in enterprise environments.
• Strong programming experience with Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with GCP and Databricks.
• Experience deploying and managing containerized apps using Kubernetes.
• Experience with Generative AI technologies and frameworks (e.g., Hugging Face, LangChain, 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 to translate business requirements into technical solutions.

Responsibilities

• Design, build, and deploy scalable ML and generative AI solutions in cloud environments.
• Develop and optimize predictive models using Python and ML frameworks.
• Leverage GCP, Databricks, and Kubernetes to operate AI workloads.
• Integrate LLMs and generative AI frameworks into enterprise apps and processes.
• Establish monitoring, logging, and performance tracking for production models.

Skills

Python

ML Frameworks

Cloud platforms

Databricks

Kubernetes

Hugging Face

LangChain

LLM APIs

REST APIs

Collaboration

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

GCP

Databricks

Kubernetes

Job description

About the role

As a Senior Data Scientist, you will make an impact by designing, developing, and deploying scalable machine learning and generative AI solutions that drive business value and innovation. You will be a valued member of the Data & AI team and work collaboratively 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.

Work model:

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant or client office in Alpharetta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

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.

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.

We're excited to meet people who share our mission and can make an impact in a variety of ways.

Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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

Salary and Other Compensation

Applications will be accepted until September 20, 2026

The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.