Job Summary
We are looking for a highly experienced Data Scientist (DS) who thrives on solving complex problems through cutting-edge machine learning algorithms and advanced statistical techniques. This role requires a deep technical skillset and the ability to design build and deploy predictive models to drive business decisions and innovation.
Responsibilities
Develop and implement advanced data science models including clustering segmentation random forest gradient boosting (e.g. XGBoost) ensemble techniques and constrained optimization methods.
Explore additional approaches such as neural networks support vector machines and Bayesian methods to address diverse business challenges.
Design and execute matched-pair analyses predictive analytics and other statistical approaches to address business challenges.
Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions.
Engineer features and preprocess data to optimize model performance and interpretability.
Work with large datasets from diverse sources ensuring data quality and consistency.
Perform model evaluation tuning and validation using appropriate techniques and metrics.
Deploy machine learning models into production environments ensuring scalability and reliability.
Mentor and collaborate with team members to share knowledge and best practices.
Stay current on advancements in data science tools and methodologies to bring innovation to the team.
Proficiency in Python or R with strong experience in libraries such as scikit-learn TensorFlow PyTorch or similar.
Advanced knowledge of machine learning algorithms statistical modeling and data preprocessing techniques.
Strong foundation in mathematics statistics and computer science.
4+ years of experience as a data scientist or in a related role.
Proficiency in SQL for data extraction and manipulation.
Demonstrated ability to handle complex datasets and derive actionable insights.
Excellent communication and collaboration skills to work with cross-functional teams. Experience deploying models into production environments is highly desirable
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.
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.