Job Title: Data Scientist III
Role Overview
As a Data Scientist III, you will lead the development and deployment of advanced data science solutions to address complex business challenges. You will work closely with stakeholders to understand requirements, guide the team, and ensure alignment with strategic objectives. This role demands deep expertise in machine learning, deep learning, GenAI, and MLOps, along with a strong ability to mentor junior team members and drive projects to successful completion. You will also identify opportunities for automation and process optimization to enhance operational efficiency.
Core Responsibilities
- Lead the design, development, and deployment of scalable ML/DL/GenAI solutions across diverse business domains.
- Translate business requirements into technical solutions, ensuring alignment with organizational goals.
- Drive automation of repeatable tasks and workflows to improve efficiency and reduce manual effort.
- Ensure high-quality deliverables through rigorous testing, validation, and implementation of quality control measures.
- Collaborate with cross-functional teams including data engineering, product, and business stakeholders.
- Communicate complex analytical concepts and insights clearly to both technical and non-technical audiences.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.
Technical Expertise
- 6–12 years of hands-on experience in Data Science, with proven success in applying ML, DL, NLP, and CV techniques to solve real-world problems.
- Strong proficiency in Python or R, with the ability to write modular, scalable, and production-ready code.
- Deep understanding of ML/DL algorithms, statistical modeling, and foundational concepts in NLP and computer vision.
- Experience with GenAI and LLMs, including applications such as summarization, content generation, and semantic analysis.
- Solid knowledge of SQL for data manipulation and analysis.
- Working knowledge of optimization techniques and their application in model tuning and performance enhancement.
- Hands-on experience with MLOps tools and practices for model lifecycle management, CI/CD, and monitoring.
Preferred Skills
- Experience with cloud platforms (e.g. GCP) and containerization tools (Docker, Kubernetes).
- Familiarity with model explainability frameworks and responsible AI practices.
- Exposure to data governance, privacy, and compliance standards.
- Ability to lead cross-functional teams and manage multiple projects simultaneously.
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。
