Sr. Data Scientist

Company Overview

At Motorola Solutions, we believe that everything starts with safety. It’s the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class.

As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways.

At Motorola Solutions, we’re ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Department Overview

Motorola Solutions creates innovative, mission-critical communication solutions and services that help public safety and commercial customers build safer cities and thriving communities around the world. We look for the most advanced problems solvers - like you - to help us create technologies that rise to the challenges of our customers. To connect firemen to policemen to emergency responders to nurses to specialists to lives saved. To protect communities, grow businesses and make work safer and more efficient. Motorola Solutions is looking for a self motivated individuals to help drive the next generation public safety experience, and to work with a team of top experienced professionals to enable mission critical services and solutions.
Job Description

The Sr. Data Scientist will lead the data science function in the Devices Software Building Block team. He/She will work with our engineering, product, sales, leadership, and marketing teams in developing valuable insights by analyzing large volumes of data obtained from Motorola Solutions (MSI) IoT devices. These insights will be used by MSI customers to better manage their fleet of IoT Devices and by MSI internal teams to understand our customer’s needs to provide better products and services.

Responsibilities 

• Use the Data Science Life Cycle to design and develop algorithms, methods, processes, and systems to generate actionable and value-added insights from unstructured, diverse “big data” sources. 

• Assess the effectiveness and accuracy of data sources, data-gathering techniques, and analytic algorithms.

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Interacts with product and service teams to identify customer needs, questions, and issues for data analysis and experiments. Then develop custom data models and algorithms to address these needs and issues.

• Mine and analyze data from diverse databases to drive optimization and improvement of product development, marketing techniques, and business strategies.

Preferred Qualification

• Machine Learning Experience: ML algorithms, experience with training models, hyperparameter tuning, and distributed model training.

• Experience deploying traditional ML and deep learning models (clustering, decision tree, neural networks) and their validation.

• Working knowledge of data mining principles: predictive analytics, mapping, and collecting data from multiple cloud-based and local data sources.

• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, linear regression, variable selection, and time-series analysis.

• Data Visualization experience using Tableau / Power BI or other interactive data visualization software products

• Applies tools to efficiently clean and prepare massive volumes of unstructured data for analysis

• Experience with Azure Databricks

• Basic working knowledge of Azure cloud computing (Kubernetes, pipelines..)

• Experience/knowledge base in Agile process using JIRA is a plus

Basic Requirements

• Bachelor's or Master's degree in data science, computer science, data engineering, or related technical, math, or scientific field

• 5+ years of experience in data science manipulating data sets and building statistical models

• 5+ Years of experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Travel Requirements
Relocation Provided
Position Type
Referral Payment PlanYes

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 9 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 and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.