Job Summary
This role involves managing data science projects driving analytics strategies and delivering actionable insights to support business decisions. The Manager-Data Science will collaborate with cross-functional teams to optimize processes and enhance organizational performance through data-driven solutions.
Responsibilities
- Lead the development and implementation of data science strategies to address complex business challenges and opportunities.
- Oversee the design and execution of predictive models machine learning algorithms and statistical analyses to derive actionable insights.
- Provide guidance to the team in identifying trends patterns and correlations within large datasets to support decision-making processes.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
- Ensure the accuracy reliability and scalability of data science models and solutions.
- Drive innovation by exploring new tools techniques and methodologies in the field of data science and analytics.
- Monitor and evaluate the performance of data science projects ensuring alignment with organizational goals and objectives.
- Facilitate knowledge sharing and training sessions to enhance the analytical capabilities of team members and stakeholders.
- Partner with IT and data engineering teams to ensure seamless integration of data science solutions into existing systems.
- Develop and maintain documentation for data science processes methodologies and outcomes.
- Advocate for data-driven decision-making across the organization by showcasing the impact of analytics and insights.
- Manage project timelines resources and deliverables to ensure successful execution of data science initiatives.
- Maintain compliance with data privacy and security regulations while handling sensitive information. Qualifications
- Possess strong expertise in analytics including predictive modeling statistical analysis and machine learning techniques.
- Demonstrate proficiency in analytics and insights with the ability to translate complex data into actionable business strategies.
- Have a solid understanding of data visualization tools and techniques to effectively communicate findings.
- Exhibit excellent problem-solving skills and the ability to work with large and complex datasets.
- Showcase strong collaboration and communication skills to work effectively with cross-functional teams.
- Hold a proven track record of managing data science projects and delivering impactful results.
- Display knowledge of programming languages such as Python R or SQL for data manipulation and analysis.
- Demonstrate familiarity with cloud-based analytics platforms and tools.
- Have experience in mentoring and guiding teams to achieve their full potential.
- Show commitment to staying updated with the latest trends and advancements in data science and analytics.
- Possess a strong business acumen to align data science initiatives with organizational goals.
- Exhibit attention to detail and a focus on quality in all aspects of data science work.
Certifications Required
Certified Analytics Professional (CAP) Google Data Analytics Professional Certificate
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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