Advisor, Data Science and Advance Analytics

Ciena
US - California - San Jose
October 19, 2024

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:

As 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.

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 is 180,200 - 287,800 USD

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

Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.

Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena 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.
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At Ciena, we are committed to building and fostering an environment in which our employees feel respected.

Read the full job description and apply online on the recuiter's web-site

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