Apply on Employer Site

Motorola Solutions · 10 hours ago

Sr. Data Scientist

Schaumburg, IL

Full-time

Hybrid

Mid, Senior Level

$105K/yr - $112K/yr

4+ years exp

Motorola Solutions is a global community focused on enhancing safety through technology. They are seeking a Senior Data Scientist to lead the Artificial Intelligence & Analytics stream, responsible for building analytical and statistical machine learning models that drive business decisions and enhance user experiences.

Cyber SecurityTelecommunicationsVideo

Growth Opportunities

No H1B

Responsibilities

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

Qualification

Machine LearningPythonData AnalysisCloud EnvironmentsStatistical MethodsDeep LearningNatural Language ProcessingData IntegrationCommunication SkillsInterpersonal SkillsTime ManagementAdaptability

Required

Bachelor's or Master'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

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

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