Advisor, Data Science and Advance Analytics

4 months ago

Ottawa, Canada Ciena Full time

**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.**

**Not ready to apply? Join our** **Talent Community** **to get relevant job alerts straight to your inbox.**

**Why Ciena**:

- We are big proponents of **life-work integration** and provide the flexibility and tools to make it a reality with remote work.
- We believe an **inclusive, diverse, and barrier-free** work environment makes for empowered and committed employees.
- We recognize the importance of **well-being** and offer programs and benefits to support and sustain the mental and physical health of our employees and their families and offer a variety of paid family leave programs.
- We are committed to **employee development**, offering tuition reimbursement and a variety of in-house learning and mentorship opportunities.
- We know that **financial security** is important. We offer competitive salaries and incentive programs, RSU’s (job level specific) and an employee share option purchase program.
- We realize **time away** to recharge is non-negotiable. We offer flexible paid time off
- Great work deserves **recognition. **We have a robust recognition program, with ongoing and enhanced awards for exemplary performance.

**How You Will Contribute**:

- ** 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.

**What Does Ciena Expect of You?**
- ** Initiative -** you’re a self-starter who works with limited direction and is committed to delivering against aggressive deadlines.
- A **customer first mentality - **what’s important to the customer is also important to you.
- ** Agility **- you are readily able to manage competing and ever-changing priorities and maintain a balanced and methodical approach to problem solving.
- ** Communication expertise** - you possess the ability to tailor your message and ideas to the audience to ensure understanding and consensus.
- The flexibility to **work independently** and as **part of a broader team** - you thrive in a team environment, are comfortable working independently, and know how to get things done in a virtual environment.
- ** Relationship builder** - with a proven ability to influence, you’re able to quickly develop trusted connections and get work done through others.

**The Must Haves**:

- ** 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.

**Others**:

- 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.

**Compensation and Benefits**
The annual pay range for this position in California i

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