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Data Science and Analytics Advisor
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Ciena Corporation is seeking a highly skilled Data Science and Analytics Advisor to join our team. As a key member of our organization, you will play a pivotal role in helping us transition from descriptive and diagnostic analytics to predictive and prescriptive analytics using data science, AI, and ML.
Key Responsibilities- Partner with Business Teams: Collaborate with business stakeholders to understand their challenges, identify opportunities for data-driven solutions, and translate business requirements into analytical problems.
- Data Acquisition and Preparation: Source, collect, and cleanse data from various internal and external sources. Transform data into usable formats for analysis.
- Advanced Analytics: Develop and implement statistical and machine learning models to analyze large and complex datasets, uncovering patterns, trends, and insights.
- Story Telling: Create compelling narratives to communicate findings effectively to both technical and non-technical audiences.
- Model Deployment: Deploy data models into production environments to enable real-time decision-making and automation.
- AI Governance: Ensure data quality, integrity, and security by adhering to AI governance standards and best practices.
- AI Evangelist: Stay up-to-date with the latest data science trends, technologies, and methodologies.
- Proven Experience: Minimum of 10 years of experience as a Data Scientist, with a demonstrated track record of successfully collaborating with business teams to drive data-driven decision-making.
- Technical Proficiency: Strong proficiency in programming languages (Python, R, or similar), statistical modeling, machine learning algorithms, and data visualization tools (e.g., Looker, Power BI).
- Business Acumen: Ability to understand business challenges, translate them into data-driven questions, and communicate findings in a clear and actionable manner.
- Communication Skills: Excellent verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical audiences.
- Collaboration: Proven ability to build strong relationships and collaborate effectively with cross-functional teams.
- Problem-Solving: Strong analytical and problem-solving skills with a data-driven approach.
- Education: Advanced degree in Statistics, Mathematics, Computer Science, or a related field preferred.
- Experience within Hi-Tech / Telecommunication specific industry/domain such as Supply Chain, Accounting, Sales etc.
- Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP).
- Agile mindset and good understanding of MVP / iterative development is desired.
Ciena Corporation offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence.