Lead Data Scientist

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 Motorola 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" and therefore requires successfully passing a fingerprint background check administered by Motorola Solutions Inc. customers. #LI-RS1 Basic Requirements • 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. • Must be able to obtain background clearance as required by government customer Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan Yes 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. 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