Description and Requirements
ABOUT MOTO
Motorola Mobility (a Lenovo Company) is one of the world’s fastest growing smartphone providers creating groundbreaking, affordable, high-quality products designed and built with the global customer in mind.
Our dedicated Program Managers ensure this all happens. We are thinkers, risk-takers and problem solvers working together and with Engineers to constantly challenge the status quo.
If you share our commitment to ingenuity, creativity, and innovation, we want to work with you! Explore the opportunities and apply today.
This position is part of the Android Software Platform team responsible for development of leading-edge innovative solutions, and carrier customization for mobile devices.
Our Software Program Managers are responsible for owning quarterly release content and individual software development projects which includes end to end planning, tracking progress and risks, and reporting.
They ensure adherence to solid development practices. Additionally, they drive improvements in quality and performance, defect issue resolution, and work closely with cross-functional product teams to deliver high quality, customer-centric Android devices.
ABOUT THIS OPPORTUNITY
Are you passionate about leveraging data to create seamless and intuitive user experiences on smartphones?
LOCATION : Chicago - In person
We're seeking a Senior Data Scientist to lead the charge in harnessing data-driven insights to enhance user interactions and provide personalized assistance.
In this role, you'll be at the forefront of utilizing contextual data and advanced machine learning techniques to deliver tailored responses and actions, making smartphone interactions more intuitive and efficient.
If you're excited about the intersection of data science and user experience optimization, we want you on our team!
Data-Driven Insights : Utilize data analytics and machine learning techniques to derive actionable insights from user interactions, contextual data, and feedback, driving continuous improvements in user experience.
Contextual Understanding : Develop algorithms and models to interpret contextual data, such as location, time, and user activity, enabling smartphones to provide relevant and timely assistance based on the user's current situation.
Prompting Enhancement : Enhance prompting mechanisms and intelligent notifications using data-driven approaches, ensuring that smartphones proactively assist users with relevant suggestions, reminders, and actions.
Personalized Reasoning : Build and refine large-scale datasets for training and improving language understanding models, enabling smartphones to deliver personalized responses and actions tailored to individual user preferences and behavior.
LLM Model Training : Collaborate with machine learning engineers to train and optimize language understanding models (LLMs) using curated datasets, fine-tuning model parameters to enhance accuracy and relevance of responses.
Continuous Improvement : Establish feedback loops and mechanisms for monitoring user interactions and collecting feedback, iteratively refining data models and algorithms to adapt to evolving user needs and preferences.
Data Governance : Ensure data quality, privacy, and compliance with relevant regulations and standards, implementing robust data governance practices to safeguard user information and maintain trust.
BASIC QUALIFICATIONS
Master's or degree in Data Science, Computer Science, or a related field. (or Bachelor's considered with 5+ yrs experience)
5+ years of experience in data analysis, machine learning, and user experience optimization, preferably in the mobile technology industry.
Proficiency in data mining, statistical analysis, and machine learning techniques, with hands-on experience in Python, R, or similar programming languages.
PREFERED QUALIFICATIONS
Strong understanding of natural language processing (NLP) and language understanding models, with experience in training and deploying machine learning models for text analysis and interpretation.
Excellent problem-solving and analytical skills, with the ability to derive actionable insights from complex datasets and translate them into practical solutions for improving user experiences.
Effective communication and collaboration skills, with the ability to work closely with cross-functional teams to implement data-driven solutions and drive continuous improvement in user interactions.
If you're passionate about using data to create personalized and intuitive smartphone experiences and eager to make an impact in the rapidly evolving mobile technology landscape, we encourage you to apply and join us in shaping the future of user interaction!
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