Senior Data Scientist

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Cognizant

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Job Summary


Salary
โ‚น81,944 - โ‚น161,667 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL R Analytics

Job Description

Job Summary

We are seeking a highly experienced Senior Data Scientist with 12 to 16 years of experience in Analytics Analysis and Design. The ideal candidate will have a strong background in Networks and will be responsible for driving data-driven decisions and strategies. This role involves working closely with cross-functional teams to analyze complex data sets and provide actionable insights that will enhance our network solutions.

Responsibilities

  • Lead the development and implementation of advanced analytics models to support network optimization and performance improvement.
  • Oversee the analysis of large and complex data sets to identify trends patterns and insights that can drive strategic decisions.
  • Provide expertise in the design and execution of data-driven experiments to test hypotheses and validate models.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Develop and maintain data pipelines and workflows to ensure the accuracy and reliability of data.
  • Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
  • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
  • Mentor and guide junior data scientists in best practices and advanced analytical techniques.
  • Ensure the integrity and security of data throughout the analytics process.
  • Stay updated with the latest trends and advancements in data science and network technologies.
  • Contribute to the continuous improvement of data analytics processes and methodologies.
  • Drive the adoption of data-driven decision-making across the organization.
  • Work closely with network engineers to integrate analytics solutions into network operations.

Qualifications

  • Possess a strong background in analytics analysis and design with a focus on networks.
  • Demonstrate expertise in advanced statistical techniques and machine learning algorithms.
  • Have experience in developing and implementing data pipelines and workflows.
  • Show proficiency in programming languages such as Python R or SQL.
  • Exhibit excellent communication skills to convey complex findings to non-technical stakeholders.
  • Display a proven track record of leading data science projects and mentoring junior team members.

Certifications Required

Certified Analytics Professional (CAP) Cisco Certified Network Professional (CCNP)

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