Job Summary

Join our dynamic team as an Associate-Data Science where you will leverage your expertise in analytics analysis and design to drive impactful solutions. With a hybrid work model and day shifts you will collaborate with cross-functional teams to enhance data-driven decision-making processes. Your contributions will play a vital role in advancing our companys mission and positively impacting society.

Responsibilities

• Analyze complex datasets to extract meaningful insights that support strategic decision-making.
• Design and implement robust data models to optimize data processing and analysis.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Develop predictive models to forecast trends and identify opportunities for growth.
• Utilize advanced statistical techniques to improve data accuracy and reliability.
• Provide actionable recommendations based on data analysis to enhance business performance.
• Oversee the integration of data analytics into existing systems to streamline operations.
• Ensure data integrity and security by implementing best practices in data management.
• Lead initiatives to automate data processing and reporting for increased efficiency.
• Communicate findings and insights effectively to both technical and non-technical audiences.
• Stay updated with the latest advancements in data science and analytics to drive innovation.
• Contribute to the development of data-driven strategies that align with organizational goals.
• Foster a culture of data-driven decision-making across the company. Qualifications
• Possess a strong background in analytics with proven experience in data analysis and design.
• Demonstrate proficiency in statistical software and programming languages relevant to data science.
• Exhibit excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Have a keen eye for detail and a commitment to delivering high-quality analytical solutions.
• Show adaptability to work in a hybrid model balancing remote and in-office collaboration.
• Display effective communication skills to convey complex data insights clearly.
• Maintain a proactive approach to learning and applying new data science methodologies.

Certifications Required

Certified Analytics Professional (CAP) Data Science Certification from a recognized institution.

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 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. 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 characteristic protected 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.