Advisor, Data Science and Advance Analytics

Posted 5 Hours Ago
Hiring Remotely in CA
Remote
Expert/Leader
Cloud • Hardware • Internet of Things • Other • Software • Semiconductor • Utilities
Ciena is a networking systems, services, and software company.
The Role
The Advisor, Data Science and Advance Analytics at Ciena will lead the transition from descriptive to predictive analytics, collaborating with business teams, developing machine learning models, and ensuring data integrity and security. The role requires strong programming skills and the ability to communicate complex findings effectively to various audiences.
Summary Generated by Built In

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

#LI-BS1

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.

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

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Top Skills

Python
R
The Company
HQ: Hanover, MD
9,561 Employees
Hybrid Workplace
Year Founded: 1992

What We Do

Ciena (NYSE: CIEN) is a global leader in networking systems, services, and software. We build the world’s most adaptive networks to enable our customers to deliver richer, more connected experiences for all users. At our core, Ciena is a company rooted in people. We prioritize deep, collaborative relationships within our teams and alongside our customers, partners, and communities around the world.

For three-plus decades, we’ve brought our humanity to our relentless pursuit of innovation. We continue to lead the evolution of networking with a strong track record of industry firsts. As end-user expectations skyrocket, our customers and their networks must transform. Ciena powers this transformation by driving next-generation solutions built for maximum openness and agility—today and into the future.



Corporate/Brand Values:

• Customer First
• Integrity
• Velocity
• Innovation
• Outstanding People

We're the perfect size for you to make an impact. W

Only Ciena has the depth of expertise and the culture of collaboration and partnership required to help our partners evolve. We do this by strategically integrating hardware, services, and software in an open environment to ensure our clients’ networks are ‘fit for flexibility’ today and into the f

Why Work With Us

We are known for our industry-firsts, including the first coherent optical solution, converged packet-optical platform, and intelligence automation platform. Our commitment extends beyond innovation, logging in over 35,000 volunteer hours and $2 million to worthy causes in 2023. We're the perfect size and culture for you to make a difference.

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