Senior Data Scientist

Cognizant • Plano, TX

4d • Hybrid

About The Position

We’re looking for a Senior Data Scientist.

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed