Advisor, Data Science and Advance Analytics

Ciena is committed to our people-first philosophy. Our teams enjoy a culture focused on prioritizing a personalized and flexible work environment that empowers an individual’s passions, growth, wellbeing and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

How You Will Contribute:

Reporting to Sr. Director, Global Head of Enterprise Data & Analytics s the Advisor, Data Science and Advance Analytics, your role will be pivotal in helping Ciena's business transition from descriptive and diagnostic analytics to predictive and prescriptive analytics using data science, AI and ML. This will help in enhancing our analytics capabilities and building products and solutions that extract business insights from data. You should possess a deep understanding of Data Science, AI/ML technology, particularly in applying AI, Machine Learning, and Data Science capabilities to solve data challenges. A solid comprehension of data science use cases is essential. In this role, you will collaborate closely with business leaders, business analysts, data engineers, and others to transition Ciena data analytics and insights from Business Intelligence (BI) to Artificial Intelligence (AI).

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 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: Keep abreast of the latest data science trends, technologies, and methodologies.
 

The Must Haves:

• 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.
• Strong proficiency in Python, R (must-have) with experience in libraries such as Scikit-learn, and TensorFlow/PyTorch.
• Expertise in supervised and unsupervised machine learning techniques, including regression, classification, clustering, anomaly detection, and deep learning.
• Strong knowledge of statistical modeling, feature engineering, and model evaluation.
• Hands-on experience with Dataiku for end-to-end data science and data visualization tools (e.g., Looker, Power BI).
• Ability to understand business challenges, translate them into data-driven questions, and communicate findings in a clear and actionable manner.
• Excellent verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical audiences.
• Proven ability to build strong relationships and collaborate effectively with cross-functional teams.
• Strong analytical and problem-solving skills with a data-driven approach.
• Advanced degree in Statistics, Mathematics, Computer Science, or a related field preferred.

Assets:

• 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.

Pay Range:
The annual pay range for this position in California is 180,200 - 287,800 USD

The annual pay range for this position in Canada is 129,700 - 207,300 CDN

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At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard.  Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

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