Job Summary
This role involves working as a Senior Associate in Data and Machine Learning Engineering focusing on developing and optimizing advanced analytics solutions. The candidate will leverage their expertise in AP development and domain knowledge in Support Functions and Life and Annuities Insurance to drive impactful results. The position follows a hybrid work model with day shifts and requires proficiency in English.
Responsibilities
- Develop and implement data-driven solutions using advanced programming techniques to support business objectives in the Life and Annuities Insurance domain.
- Collaborate with cross-functional teams to identify data patterns and insights that enhance operational efficiency and decision-making processes.
- Design test and deploy machine learning models to solve complex business problems and improve predictive analytics capabilities.
- Provide technical expertise in AP development to ensure seamless integration of analytics tools and systems within existing workflows.
- Optimize data pipelines and workflows to ensure high performance and scalability of analytics solutions.
- Conduct thorough data analysis to identify trends and opportunities for improving support functions within the organization.
- Ensure data quality and integrity by implementing robust validation and monitoring processes.
- Document technical processes and solutions to maintain transparency and facilitate knowledge sharing across teams.
- Support the development of dashboards and reporting tools that provide actionable insights to stakeholders.
- Stay updated with emerging technologies and methodologies in data engineering and machine learning to continuously enhance solutions.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Provide training and guidance to team members on data engineering best practices and machine learning techniques.
- Monitor and troubleshoot analytics systems to ensure optimal performance and address any issues promptly.
Qualifications
- Possess strong expertise in AP development with hands-on experience in building and optimizing analytics solutions.
- Demonstrate in-depth knowledge of Support Functions and Life and Annuities Insurance domains ensuring relevance in data-driven strategies.
- Exhibit proficiency in designing and deploying machine learning models to address business challenges effectively.
- Showcase advanced skills in data pipeline optimization and workflow management for scalable solutions.
- Have excellent analytical and problem-solving abilities to identify trends and opportunities in complex datasets.
- Display strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
- Maintain a proactive approach to staying updated with industry trends and emerging technologies.
- Demonstrate proficiency in English for reading writing and speaking to ensure clear communication and documentation.
- Possess a minimum of 4 years and a maximum of 8 years of relevant experience in data engineering and machine learning.
- Exhibit a strong commitment to delivering high-quality solutions that align with organizational goals and societal impact.
- Show capability to work in a hybrid model balancing remote and on-site collaboration effectively.
- Demonstrate ability to work independently and as part of a team to achieve project objectives.
Certifications Required
Certified Machine Learning Specialist AP Development Certification
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。
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