Job Summary
The Manager-Data Science role is pivotal in driving data-driven decision-making processes within the organization. With a focus on analytics analysis and design the candidate will lead a team to develop innovative solutions that enhance business performance. This hybrid position requires a strategic thinker with a deep understanding of data science methodologies to optimize operations and contribute to the companys growth.
Responsibilities
- Lead the data science team to develop and implement advanced analytics models that drive business insights and decision-making.
- Oversee the design and execution of data analysis projects ensuring alignment with organizational goals and objectives.
- Provide strategic direction for data-driven initiatives leveraging analytics to enhance operational efficiency and effectiveness.
- Collaborate with cross-functional teams to integrate data science solutions into business processes improving overall performance.
- Develop and maintain data science best practices fostering a culture of innovation and continuous improvement.
- Ensure the accuracy and reliability of data analysis results implementing quality control measures to maintain high standards.
- Drive the adoption of new technologies and methodologies in data science staying abreast of industry trends and advancements.
- Mentor and guide team members promoting professional development and skill enhancement in data science.
- Facilitate workshops and training sessions to enhance data literacy across the organization empowering teams to utilize data effectively.
- Monitor and evaluate the impact of data science initiatives providing insights and recommendations for future improvements.
- Collaborate with stakeholders to identify opportunities for leveraging data science to solve complex business challenges.
- Implement data governance frameworks to ensure compliance with regulatory requirements and data privacy standards.
- Advocate for data-driven decision-making demonstrating the value and impact of analytics on business outcomes.
Qualifications
- Possess a strong background in analytics with extensive experience in designing and implementing data models.
- Demonstrate proficiency in data analysis techniques with a proven track record of delivering actionable insights.
- Exhibit expertise in data science methodologies including machine learning and statistical analysis.
- Have experience in leading and managing data science teams fostering a collaborative and innovative environment.
- Show capability in strategic thinking with the ability to align data science initiatives with business objectives.
- Display excellent communication skills with the ability to convey complex data concepts to non-technical stakeholders.
- Hold a degree in a relevant field such as Data Science Computer Science or Statistics with advanced certifications preferred.
Certifications Required
Certified Analytics Professional (CAP) Advanced Data Science Certification
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
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