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

• Minimum of a bachelor’s degree in a STEM-related field (Engineering, Computer Science, Physics, etc.), Econometrics, or other related quantitative discipline with a strong foundation in statistics and specialization in AI/ML.  Master’s or PhD preferred.

• Ideal candidate will have experience in B2B sales or enterprise marketing analytics

•  Must have at least 8 or more years of related industry experience as a data analyst, with at least 3 years supporting a sales and marketing team

Experience

• Proven experience with developing and deploying AI/ML enabled solutions to a Sales and Marketing organization is a must.  Experience in the semiconductor industry is a strong plus.

• Demonstrated ability to integrate and analyze external data sources (e.g., company websites, trade news, SEC Edgar filings)

• 8+ years of experience delivering end-to-end data science solutions, including statistical analysis, data engineering, feature engineering, and model deployment. Proven ability to lead cross-functional projects and optimize models for performance and scalability.

• Experienced in working within Agile frameworks, participating in sprint planning, daily standups, and retrospectives to iteratively build and deploy models.

• Hands-on experience in software development best practices (CI/CD), version control, including release management, testing and documentation.

• Experience designing and integrating APIs to connect data science workflows with enterprise platforms, including Salesforce; familiarity with Salesforce data models and REST API usage preferred.

• Led or contributed to the implementation of AI governance frameworks, ensuring responsible AI use through model transparency, explainability, monitoring, and alignment with enterprise risk and compliance st