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Motorola Solutions

Sr. Data Scientist

Posted Yesterday
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Hybrid
Vancouver, BC
Senior level
Hybrid
Vancouver, BC
Senior level
The Senior Data Scientist will lead data initiatives, drive ML solutions across domains, and shape the company's data strategy by analyzing data for business opportunities and delivering insights to stakeholders.
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Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Aperçu de l’entreprise

Chez Motorola Solutions, nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée, unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nos technologies de communication, de sécurité vidéo et de centre de commandement essentielles soutiennent les agences de sécurité publique et les entreprises, permettant une coordination essentielle pour des communautés, des écoles, des hôpitaux et des entreprises plus sécuritaires. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr.


Department Overview
A smarter store starts with smarter communication. Theatro, our user-friendly, voice-driven AI platform provides retail workers with real-time, discreet, and efficient communication — helping them stay safe and productive while delivering top-notch customer service.
Job Description

We are looking for a Senior Data Scientist with strong machine learning expertise and a hands-on mindset to lead our data initiatives. This individual should be a self-starter who can proactively explore our data, identify impactful opportunities, and drive solutions independently. The ideal candidate will not just execute on business requests but will also shape our data strategy by telling us what we should be doing with the data we have.

Key Responsibilities

  • Take full ownership of the data science and ML stack from the ground up, including tooling and infrastructure decisions.

  • Proactively analyze available data to identify business opportunities and recommend ML/AI strategies accordingly.

  • Drive the complete ML lifecycle: problem definition, data exploration, feature engineering, model development, deployment, and monitoring.

  • Deliver hands-on ML solutions across various domains (e.g., forecasting, churn prediction, optimization).

  • Communicate actionable insights and recommendations to both technical and non-technical stakeholders.

  • Partner with leadership and cross-functional teams to prioritize high-impact data initiatives.

  • Stay current with advancements in ML/AI and continuously bring innovation into our workflows.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

  • 5+ years of hands-on experience building and deploying data science and machine learning models.

  • Proven ability to work independently and drive projects from idea to impact.

  • Expert in Python and SQL; strong experience with libraries like pandas, scikit-learn, and ML frameworks.

  • Familiarity with modern BI tools (Power BI, Tableau, etc.).

  • Deep understanding of ML and statistical methods: regression, classification, forecasting, optimization, A/B testing.

  • Experience with cloud platforms (AWS, Azure, or GCP).

  • Excellent communication and collaboration skills, with the ability to influence stakeholders.

#LI-RS1


Basic Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

5+ years of hands-on experience building and deploying data science and machine learning models.


Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Motorola Solutions adopte, favorise et promeut les principes de diversité, d’équité et d’inclusion. Nous encourageons et accueillons les candidatures de toutes les personnes qualifiées, quelles que soient leur race, origines ethnique, religion ou croyance, orientation sexuelle, identité et expression sexuelle, statut d’anciens combattants ou tout autre statut protégé par la Loi.

Nous sommes fiers de notre culture axée sur les personnes et les communautés, encourageant ainsi chaque Motorolan d’être la version la plus authentique de lui-même dans ses responsabilités afin de tenir la promesse d’un monde plus sécuritaire.

Si vous souhaitez vous joindre à notre communauté mais croyez que vous ne possédez pas toutes les exigences requises pour le poste convoité, nous aimerions tout de même connaître les raisons pour lesquelles vous pensez être un excellent candidat pour notre équipe.

Nous offrons également des mesures d’adaptation pendant toutes les étapes du processus d’embauche afin de favoriser l’inclusion des personnes vivant avec un  handicap physique et/ou mental. Pour demander un aménagement, veuillez remplir ce formulaire d'aménagement raisonnable afin que nous puissions vous aider.

Top Skills

AWS
Azure
GCP
Ml Frameworks
Pandas
Power BI
Python
Scikit-Learn
SQL
Tableau

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