Cognizant
Unknown, Unknown

Associate-Data Science

HybridPosted todayWebsiteLinkedIn

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About this role

 


 

Job Summary

Join our dynamic team as an Associate-Data Science where you will leverage your expertise in analytics analysis and design to drive impactful solutions. With a hybrid work model and day shifts you will collaborate with cross-functional teams to enhance data-driven decision-making processes. Your contributions will play a vital role in advancing our companys mission and positively impacting society.


 

Responsibilities

  • Analyze complex datasets to extract meaningful insights that support strategic decision-making.
  • Design and implement robust data models to optimize data processing and analysis.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Develop predictive models to forecast trends and identify opportunities for growth.
  • Utilize advanced statistical techniques to improve data accuracy and reliability.
  • Provide actionable recommendations based on data analysis to enhance business performance.
  • Oversee the integration of data analytics into existing systems to streamline operations.
  • Ensure data integrity and security by implementing best practices in data management.
  • Lead initiatives to automate data processing and reporting for increased efficiency.
  • Communicate findings and insights effectively to both technical and non-technical audiences.
  • Stay updated with the latest advancements in data science and analytics to drive innovation.
  • Contribute to the development of data-driven strategies that align with organizational goals.
  • Foster a culture of data-driven decision-making across the company. Qualifications
  •  
  • Possess a strong background in analytics with proven experience in data analysis and design.
  • Demonstrate proficiency in statistical software and programming languages relevant to data science.
  • Exhibit excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Have a keen eye for detail and a commitment to delivering high-quality analytical solutions.
  • Show adaptability to work in a hybrid model balancing remote and in-office collaboration.
  • Display effective communication skills to convey complex data insights clearly.
  • Maintain a proactive approach to learning and applying new data science methodologies.


 

Certifications Required

Certified Analytics Professional (CAP) Data Science Certification from a recognized institution.