Directeur associé, science des données et analytique / Associate Director, Data Science & Analytics

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Job Opportunity: Associate Director, Data Science & Analytics at Pratt & Whitney Canada

Date Posted: 2024-06-07

Country: Canada

Location: LOC13052 1000 Boul Marie Victorin, Longueuil, Quebec, J4G 1A1, Canada

Who We Are

At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s most advanced aircraft engines. We do this across a diverse portfolio – including Commercial Engines, Military Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond.

What Are Our Expectations?

The Data Science & Analytics team at Pratt & Whitney Canada is a dynamic and innovative group dedicated to leveraging data science and machine learning to drive actionable insights and outcomes across the organization. The main goals of the team include developing advanced data analytics models, implementing machine learning algorithms, optimizing data pipelines, and delivering data-driven solutions that enhance products and operations in the Aerospace Manufacturing industry.

What Your Day-to-Day Will Look Like

  • Lead and provide strategic direction to the Data Science & Analytics team.
  • Collaborate closely with Business teams to identify opportunities for data science and machine learning solutions.
  • Tackle challenging data science and machine learning problems with a significant impact on the organization's success.
  • Develop and implement strategies to extract actionable insights from data.
  • Oversee the development and deployment of machine learning models and algorithms.
  • Attract, hire, and retain top data science talent.
  • Effectively communicate complex technical concepts and insights to non-technical stakeholders.

The Tools You Need to Be Successful

Must Haves

  • Education: Master's or advanced degree in a quantitative discipline (Data Science, Computer Science, Statistics, or a related field).
  • Experience: Proven experience in leading Data Science & Analytics teams and delivering data-driven solutions in a corporate environment.
  • KSA: Strong proficiency in machine learning, fundamental statistics, and data visualization.
  • Programming Languages: Expertise in programming languages such as R or Python.
  • Excellent communication and leadership skills, with the ability to translate complex data concepts into actionable business insights.
  • Ability to collaborate effectively across cross-functional teams.
  • Strong problem-solving and strategic thinking abilities.
  • *Good knowledge of the English language, written and oral, is required for this position considering the operational needs of the Employer and the people with whom the candidate will be called upon to interact.

Assets

  • SQL expertise for data extraction, transformation, and analysis.
  • Additional certifications or training in data science and analytics.
  • Experience with data technologies and platforms.
  • Knowledge of cloud computing platforms for data analysis.
  • Knowledge of Data engineering, Data operations, Data Architecture.

What We Offer

  • Long-term deferred compensation programs
  • Advancement programs to enhance education skills
  • Flexible work schedules
  • Leadership and training programs
  • Comprehensive benefits, savings, and pension plans
  • Financial support for parental leave
  • Reward programs for outstanding work

Diversity, Equity & Inclusion

The masculine pronoun is used without discrimination and solely for the purpose of making the text easier to read. P&WC is an equal opportunities employer, seeking to promote diversity and inclusion. We will consider applications from all qualified candidates, regardless of their race, colour, religion, sexual orientation, gender, nationality, age, disability, veteran status or any other status protected by law.

RTX is an Equal Opportunity/Affirm