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# Sr. Data Scientist

- **Company:** Motorola Solutions, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Python (Programming Language), Machine Learning, Power BI, Tensorflow, SQL Databases, Tableau (Software), Feature Engineering, Data Strategy, Pandas, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** June 2, 2026
- **Apply:** https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Connecticut-Remote-Work/Sr-Data-Scientist_R64788

## About the Role

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., * 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., 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%

## Description

* 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.


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