Overview
On Site
USD 90,000.00 - 144,000.00 per year
Full Time
Skills
Video
Retail
Real-time
SAFE
Customer Service
Leadership
Artificial Intelligence
Innovation
Workflow
IDEA
Python
SQL
Pandas
scikit-learn
Business Intelligence
Microsoft Power BI
Tableau
Regression Analysis
Forecasting
Optimization
A/B Testing
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Communication
Collaboration
Law
Computer Science
Statistics
Data Science
Machine Learning (ML)
Recruiting
Job Details
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.
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
Qualifications
Target Base Salary Range: $90,000 - $144,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
#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
Our U.S. Benefits include:
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.
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.
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 Google Cloud Platform).
- Excellent communication and collaboration skills, with the ability to influence stakeholders.
Target Base Salary Range: $90,000 - $144,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
#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
Our U.S. Benefits include:
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K
- 10 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
- and more!
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.