Experience: 4 - 8 years
As a Data Scientist II, you will be responsible for developing and sustaining data-driven solutions that support strategic decision-making and operational efficiency. You will analyze complex datasets to uncover insights, build and maintain machine learning models—including GenAI applications—and ensure their continued performance through retraining and monitoring. This role requires a strong foundation in Python, data science libraries, and MLOps practices. You will work independently or collaboratively, depending on project needs, and continuously enhance your skills by learning from senior team members and staying current with industry trends.
Core Responsibilities
- Design, implement, and maintain machine learning and GenAI models to solve business problems and enhance user experiences.
- Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
- Perform end-to-end data science workflows including:
- Data cleaning and preprocessing
- Feature engineering
- Model training, evaluation, and retraining
- Deployment and performance monitoring
- Develop and maintain dashboards for model monitoring and business reporting.
- Collaborate with cross-functional teams to understand requirements and deliver scalable solutions.
- Communicate analytical findings clearly and effectively to both technical and non-technical stakeholders.
- Contribute to MLOps pipelines for model sustainment and automation.
Required Qualifications
- 4–8 years of hands-on experience in Data Science and Machine Learning, including exposure to GenAI technologies.
- Proficiency in Python and commonly used data science libraries (NumPy, Pandas, Matplotlib, Scikit-learn, StatsModels, NLTK).
- Strong SQL skills for data extraction, transformation, and analysis.
- Experience with model deployment and lifecycle management in production environments.
- Familiarity with MLOps tools and practices for model retraining and monitoring.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
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, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
