Lead Data Scientist

​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.

We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence & Analytics stream at D&T (Design and Tools). In this role, you will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. 

Responsibilities include:

• Manage and direct processes of AI related projects

• Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce  Product Managers for features planning, prioritization and implementation

• Understand and apply various statistical methods for data analysis, EDA,  hypothesis testing, and drawing meaningful conclusions.

• Understand ML concepts and has applied one or more of Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems

• Guiding models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks like classification, regression, and clustering.

• Training ML models to effectively communicate complex data insights through clear and informative visualizations

• Instilling in models an understanding of the ethical implications of data science, including bias detection, fairness, and responsible data handling.

• Develop application-specific interfaces that leverage GenAI capabilities, LLMs and FMs to enhance the associate and customer experience.

• Design APIs for performance, real-time applications, scale, ease of use and governance automation.

• Serves as industry thought leader in data science and applies deep expertise to drive novel customer experiences

• Adaptive and the desire to learn new technologies.

Technical Experience

• Extensive knowledge in using Python libraries to perform univariate and bivariate analysis, building advanced machine learning models and data integrations with source systems and systems of record

• Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy

• Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL

• Knowledge and experience in Cloud Environments (Azure, AWS, GCP) 

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

• Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.
   

Preferred Qualifications

• Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems

• Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions 

• Minimum 2+ years experience leading teams to deliver solutions and results

• Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations 

• Knowledge of ServiceNow and Salesforce products and features 

• Experience working with one of the leading public clouds (AWS, Google, Azure)

• Excellent written and oral communication skills. Be able to work under pressure

• Ability to Multitask, Prioritize and Manage time effectively.

• Strong interpersonal skills and ability to work effectively across teams, functional groups

Target Base Salary Range for this role is $89,300 - $178,600

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

• Bachelor's degree in Data Science, Computer Science, or an IT related field 
• Minimum of 4+ years experience in a Data Science related role
• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K
• 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 complete this Reasonable Accommodations Form so we can assist you.