Sr. Data Scientist

Motorola Solutions is seeking a Senior Data Scientist with strong machine learning expertise to lead data initiatives. This role involves proactively analyzing data, identifying business opportunities, and driving ML/AI strategies. The Senior Data Scientist will own the complete ML lifecycle, from problem definition to deployment and monitoring, delivering hands-on solutions in areas like forecasting and churn prediction. The ideal candidate will communicate insights to stakeholders and continuously innovate within ML/AI workflows.

Must Have

• 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.

Good to Have

• Proven ability to work independently and drive projects from idea to impact.
• Excellent communication and collaboration skills, with the ability to influence stakeholders.

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

• 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.

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.