Lead Data Scientist

at Motorola Solutions in Chicago, Illinois, United States

Job Description

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 OverviewMotorola Solutions creates innovative, mission-critical communication solutions and services that help public safety and commercial customers build safer cities and thriving communities worldwide. We look for the most advanced problem solvers - like you - to help us create technologies that rise to our customers' challenges. 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 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.

Develop the technical skills of junior team members by providing hands-on reviews and mentorship.

Work directly with the data engineering team to design, implement, and validate data pipelines and results.
Preferred Qualification :

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

6+ years of experience in data science, manipulating data sets, and building statistical models.

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

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 trees, 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 Apache Spark technologies.

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

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

This position is subject to working in high security areas governed by the US Department of Justice's "Criminal Justice Information Services (CJIS) Security Policy"... For full info follow application link.

Motorola Solutions is an Equal Opportunity Employer committed to no discrimination because of race, color, creed, marital status, age, religion, sex, national origin, citizenship, sexual orientation, gender identity or expression, genetic information, disability, protected veteran, or any other legally protected characteristic.