Job Description

Job Title- Principal Data Scientist - Job Summary The Asso. Principal-Data Sc. will play a crucial role in leveraging advanced data science techniques to drive innovation and efficiency in Product Lifecycle Management. With a focus on Cloud Data platform(especially Snowflake), Data Engineering principals, Knowledge Graph Machine Learning Artificial Intelligence and Natural Language Processing the candidate will contribute to the development of cutting-edge solutions. This role requires in-depth knowledge of modern cloud platforms, data integration, and scalable AI/ML system architecture. Key Responsibilities: Cloud & Data Architecture: Demonstrate strong experience in cloud technologies with a particular focus on Snowflake. Architect end-to-end integration between enterprise platforms (e.g., ServiceNow, Salesforce, Workday) and Snowflake. AI Integration & LLMs: Design and develop AI agents leveraging Large Language Models (LLMs) across various cloud platforms. Enable data exchange between Snowflake and AI agents for inference and analytics. Machine Learning & NLP: Hands-on experience in building and deploying ML models and NLP pipelines. Implement deep learning architectures including CNNs, RNNs, and Transformers. Preprocess large datasets for training and inference using scalable pipelines. Data Engineering & Processing: Build robust data pipelines and ensure efficient data flow across systems. Solid Python programming knowledge for data extraction and ML integration. Model Deployment & Infrastructure: Deploy ML models using containerization and orchestration tools such as Docker and Kubernetes on AWS, GCP, or Azure. Ensure scalable and production-grade model deployment environments. Visualization & Insights: Integrate and visualize data from Snowflake and cloud apps into dashboards for business intelligence and operational efficiency. Strategic Impact: Conduct deep analysis and interpretation of complex datasets to inform high-level business decisions. Collaborate with stakeholders to define AI/ML use cases and roadmap. Leadership & Collaboration: Drive the roadmap and vision for ML and AI capabilities aligned with customer and business goals. Mentor junior team members and promote best practices in data science and architecture. Work closely with cross-functional teams to embed AI into enterprise systems. Salary and Other Compensation: Applications will be accepted until Aug 9th 2025. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.The annual salary for this position is between $ 150-193K 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 InsurancePaid holidays plus Paid Time Off401(k) plan and contributionsLong-term/Short-term DisabilityPaid Parental LeaveEmployee 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 Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. #J-18808-Ljbffr Cognizant

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