Data Scientist Intern

Company Overview

At Motorola Solutions, we’re guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We’re solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That’s mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We’re solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that’s critical to connect those in need with those who can help. The work we do here matters.

Department Overview

The Service Design Tools & Infrastructure (SDTI) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customer’s expectations.

Job Description

This position requires a highly skilled and self-motivated individual who maintains high quality in his/her work while still meeting committed deadlines. 

We are looking for a data scientist who will help us discover and extract actionable business insights in vast amounts of data, use the latest modeling tools to perform analytical tasks, and help us make smarter decisions to deliver even better tools. 

The ideal candidate is adept at using large data sets to find opportunities for tools suite and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/machine learning algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. They will present their work to our leadership team at the end of the internship.

Technical Experience

• Knowledge of Python with experience in data extraction, analysis, integration and interpretation

• Knowledge and experience with Databases like Postgres, Redshift, MSSQL 

• Knowledge with SQL and Scripting 

• Strengths in Working with Data and ability to tune SQL Queries for high performance 

• Knowledge in AWS Environment 

• Experience to read data from multiple sources and cleanse, enhance and analyze the data.

#LI-DB1

Basic Requirements

• All Candidates must be currently pursuing a Bachelor’s degree or higher in Computer Science / Engineering, Data Science or an IT related field
• Graduation date must be on or after December 1, 2025

Travel Requirements

Under 10%

Relocation Provided

None

Position Type

Intern

Referral Payment Plan

No

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 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 email [email protected].