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    Data Scientist, People - Ottawa, Canada - Ciena Canada, Inc.

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    Full time
    Description

    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.

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    Reporting to the People Analytics Manager, we are seeking a Data Scientist to join our dynamic People & Culture team. In this role, you will play a pivotal role in migrating data from various source systems to our data lake (Snowflake), establishing it as the single source of truth for analytics data models that you will develop. These models will be the foundation for our dashboards, KPIs, Gen-AI insights, and more. You'll be working closely with stakeholders to understand their requirements and building analytics solutions and communicating actionable to improve decision-making. Additionally, you will be involved in the creation of machine learning pipelines to develop predictive, diagnostic, and what-if models, further enhancing our analytical capabilities.

    We are ideally looking for a candidate in the Ottawa, ON location as we have an office in that region and it would be preferable to have the new team member come into the office occasionally (once per week). We are however open to remote candidates in the Brazil, UK, Ireland locations as well.

    Key Responsibilities:

  • Lead the migration of data from source systems to our data lake (Snowflake), ensuring data privacy, integrity, and consistency.
  • Understand fundamental database concepts such as dimensional modelling, relational database architecture, and more.
  • Design data models that transform raw data into insightful knowledge by understanding business requirements in the context of BI and AI.
  • Develop Power BI dashboards, KPI scorecards, visual reports, and Gen-AI insights.
  • Establish row-level security on data and our data application's security layer models.
  • Design and implement machine learning pipelines for predictive models and integrate into analytical dashboards.
  • Collaborate with various teams across the organization to understand their data needs and deliver actionable insights.
  • Advocate for data best practices, fostering a data-driven culture within the organization.
  • The Must Haves:

  • Bachelor's degree in IT, Business, Human Resources, or a related field.
  • Strong technical skills with experience in ETL, data modelling, and visualization/dashboard development.
  • Proficiency in SQL, Python, DAX, or similar.
  • Proficiency in Power BI, Dataiku, or similar.
  • Excellent data analysis skills, with the ability to transform complex data into actionable insights.
  • Strong communication skills, with the ability to effectively collaborate with various teams, stakeholders.
  • Demonstrated ability to understand business processes and the role of data in supporting strategic objectives.
  • Assets:

  • Proven experience in business analytics, particularly within the HR domain.
  • Experience with data warehousing/data lakes, preferably Snowflake/SQL server.
  • Strong data architecture knowledge, with familiarity in handling structured, semi-structured, and unstructured data.
  • Excellent problem-solving skills, with the ability to address business challenges creatively and efficiently.
  • Expert in data storytelling with the ability to provide insightful advice and recommended data-driven decisions.
  • #LI-CM

    #LI-hybrid

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


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