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)