Data Science Manager - Toronto, Canada - BOEING

BOEING

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

At Boeing, we innovate and collaborate to make the world a better place.

From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.

Find your future with us.

Boeing Global Services (BGS) is currently looking for a
Data Science Manager to join their team in
a Virtual role, to lead a team of 10-12 data scientists and data engineers in building and deploying AI models to improve internal processes and generate data-driven insights.

This role will be instrumental in bridging the gap between business needs and technical solutions, leveraging the power of AI to drive innovation and efficiency through enablement of AI Inside future across the entire Digital Aviation Solutions (DAS) organization.

Position Responsibilities:

Lead and manage a team of 1012 data scientists and data engineers with diverse skillsets. Foster collaboration within the team and ensure effective communication.
Partner with various business units to understand their challenges and opportunities. Translate these needs into actionable data science projects for the team.
Prioritize data science projects based on their potential impact on business goals and feasibility.
Oversee the design, development, and deployment of AI models, ensuring they meet business requirements and deliver value.
Utilize LEAN principles to manage data science projects, focusing on iterative development, rapid prototyping, and efficient resource allocation.
Collaborate closely with process engineers and industrial engineers to ensure data science solutions integrate seamlessly with existing processes.
Develop and maintain strong relationships with stakeholders across the organization, including business leaders, engineers, and data teams.
Provide oversight and approval of technical approaches, products, and processes.
Continuously monitor and evaluate the performance of AI models, making adjustments as needed.
Stay abreast of the latest advancements in data science and AI, and identify opportunities to leverage new technologies within the organization.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

Proven experience in leading the design, development, and deployment of AI models.
Understanding of programming languages commonly used in data science (Python, R, etc.).
Experience working with data pipelines, data cleaning techniques, and best practices for data governance.
Excellent communication skills to collaborate effectively with both technical and nontechnical stakeholders.
Strong leadership skills with the ability to motivate and mentor a team.
Experience in project management and the ability to track progress and meet deadlines.
Understanding of key performance indicators (KPIs) to evaluate the effectiveness of AI models and their impact on business goals.
Demonstrates strong servant leadership attributes.
Must be legally able to work in Canada.
Individual must not pose a risk for safeguarding of controlled goods.
Must be eligible to handle US exportcontrolled data.

Preferred Qualifications (Desired Skills/Experience):

Bachelor's degree, preferably Master's degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
Experience in aviation industry.
Familiarity with Kanban boards, Value Stream Mapping, and A/B testing.

Relocation:

Additional Information:

Applications for this position will be accepted until June 21st, 2024

Equal Opportunity Employer:

We are an equal opportunity employer.

We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.