Job Summary

We are seeking a Senior Data Scientist with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in various technical skills including Knime Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. The candidate should also

Responsibilities

Lead the development and implementation of advanced data science models and algorithms to solve complex business problems.Oversee the end-to-end data science project lifecycle from data collection and preprocessing to model deployment and monitoring.Provide expertise in Knime Statistics and Azure Open AI Service to enhance data analysis and predictive modeling capabilities.Conduct Exploratory Data Analysis (EDA) to identify trends patterns and insights from large datasets.Utilize Airflow for workflow automation and efficient data pipeline management.Implement Knowledge Graph techniques to improve data relationships and insights.Apply ML Ops practices to streamline machine learning model deployment and maintenance.Develop and deploy machine learning models using Cloud AutoML and other cloud-based tools.Create and manage AI-enabled chatbots using Dialogflow and other conversational AI platforms.Employ OpenCV for computer vision tasks and image processing.Leverage Artificial Intelligence and Natural Language Processing to enhance data-driven decision-making.Utilize Deep Learning frameworks such as PyTorch and Tensorflow for advanced model development.Use R Statistical Package and Python for data analysis visualization and model building.Implement Search Engine Optimization techniques to improve data discoverability and relevance.Collaborate with cross-functional teams to integrate data science solutions into business processes.Ensure data integrity quality and security throughout the data science workflow.Stay updated with the latest advancements in data science machine learning and artificial intelligence.Provide mentorship and guidance to junior data scientists and team members.Communicate findings and insights to stakeholders through clear and concise reports and presentations.Drive continuous improvement in data science methodologies and practices.Contribute to the companys purpose by leveraging data science to drive innovation and impact society positively.

Qualifications

Possess a strong background in data science with 8 to 10 years of relevant experience.Demonstrate expertise in Knime Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.Have domain experience in Cards & Payments and Asset & Wealth Management.Exhibit strong analytical problem-solving and critical thinking skills.Show proficiency in data visualization and communication of complex data insights.Display excellent collaboration and teamwork abilities.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Disclaimer: 
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.