About the role

What will you do at Cognizant?

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

We’re looking for a Senior Data Scientist.

Roles & Responsiblities:

Lead the development and implementation of advanced machine learning and Gen AI models using Spark ML, AWS Machine Learning, and Azure Open AI Service to solve complex business problems.

Oversee integration of IoT data with Databricks to enhance predictive analytics and AI-driven insights.

Provide expertise in PySpark, Statistica, and Gen AI tools to streamline data processing and analysis workflows.

Utilize R Studio, Statistics, and Gen AI techniques for comprehensive data analysis and actionable insights.

Collaborate with Azure Open AI Service to develop innovative generative AI solutions that drive business growth.

Conduct Exploratory Data Analysis (EDA) to identify trends and inform AI-augmented strategic decisions.

Implement Airflow for efficient data pipeline automation supporting AI workflows.

Develop and maintain Knowledge Graphs to improve AI-powered data connectivity and retrieval. Apply ML Ops practices to ensure robust deployment, monitoring, and lifecycle management of machine learning and Gen AI models.

Drive use of Cloud AutoML, Dialogflow, and generative AI to enhance customer interaction and service delivery.

Utilize OpenCV for computer vision applications enhanced by AI capabilities.

Implement AI and Natural Language Processing techniques, including generative AI, to improve user experience. Apply Deep Learning frameworks such as PyTorch and TensorFlow to advance model accuracy and performance, including generative models.

Utilize R Statistical Package and Python for statistical analysis, model development, and AI integration. Optimize Search Engine strategies leveraging AI to improve visibility and engagement.

Working arrangements:

Based on this role’s business requirements, this is an hybrid position based out at Plano TX.

Note: 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.

Salary and Other

Compensation

The annual salary for this position is depending on experience and other qualifications of the successful candidate.

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.

Which skills does this role require?

Machine LearningGen AISpark MLAWS Machine LearningAzure Open AI ServiceIoT DataDatabricksPySparkStatisticsR StudioExploratory Data AnalysisAirflowKnowledge GraphsML OpsDeep LearningNatural Language ProcessingGenerative AIIoTCloud AutoMLDialogflowOpenCVPyTorchTensorFlowAIData PipelinePredictive AnalyticsAI WorkflowsCustomer InteractionService DeliverySearch Engine OptimizationAI TechniquesStatistical AnalysisPythonREST APIsAWSAzureSparkLLMs

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