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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
