Data Scientist Intern (Summer 2026 Internship)
Posted 97 days ago
Job Description
This job posting has expired and no longer accepting applications.
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
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.
Target Hourly Base Salary Range: $20.70 - $24.10 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-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
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Intern
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.
This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.
Motorola Solutions
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