Principal Data Scientist - Sales and Marketing

Principal Data Scientist

Do you enjoy working with cutting-edge technologies in Data, AI, and Machine Learning? Are you excited by the opportunity to make a transformational impact in a Fortune 500 enterprise? Our Global Sales and Marketing (GSM) business domain is seeking a results-oriented Senior Data Scientist to lead AI-driven initiatives. You will collaborate with internal enablement teams (e.g., Central Data Office, IT) to deliver impactful AI / ML / GenAI use cases across the ML lifecycle.

As the first dedicated Data Scientist in the Global Sales and Marketing domain, you will play a pivotal role in shaping our data and AI driven strategy. You will lead the development of AI / ML solutions that drive customer insights, optimize sales opportunities, and influence strategic decisions across the organization.

Key Responsibilities

• Lead the development of AI / ML solutions that drive customer insights, optimize sales opportunities, and influence strategic decisions across the Global Sales and Marketing (GSM) domain. Initial efforts will focus on advancing Customer 360 and Cross-Sell use cases.
• Partner with Sales, Marketing, and Business Development teams to identify high-impact use cases and translate business needs into data science solutions.
• Ability to set data science best practices and support adoption of use cases across the organization.
• Design and develop machine learning models to predict customer behavior, identify sales opportunities, and generate actionable insights, using a variety of complex data sources, including internal systems (e.g., Sales Order, Revenue Forecasts, Design Win Opportunities) and external sources (e.g., company websites, trade news, SEC Edgar filings).
• Perform large-scale experimentation to identify hidden relationships between variables, and build models to answer business questions
• Design and conduct data analyses with the highest standard of scientific rigor; this includes study design, methodology, algorithms, and statistical modeling.
• Define and track success metrics for AI / ML initiatives to measure business impact and model performance
• In collaboration with the Central Data Office (CDO) and IT teams, build ML pipelines and workflows to efficiently manage solution needs throughout the ML lifecycle.
• Work closely with our MLOps engineers to move prototypes into robust, scalable production systems using automated workflows.
• Contribute to the development of a long-term data strategy for the GSM domain, including data acquisition, quality, and governance.
• Champion responsible AI practices and contribute to the development of governance standards across the ML lifecycle
• Mentor junior data scientists and contribute to building a high-performing data science culture within GSM.

Job Requirements

Education

Experience

Skills

Location

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NXP is an Equal Opportunity / Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and / or expression, marital status, status as a disabled veteran and / or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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