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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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