Senior Data Scientist

About the role

As a Senior Data Scientist at Canon U.S.A., you will bridge advanced quantitative analysis with business execution across business units. Sitting at the intersection of marketing technology and enterprise analytics, this role leverages mathematical, statistical, and programming expertise to translate complex datasets into predictive insights and actionable business recommendations. You will play a pivotal role in driving customer growth by building high‑performing machine learning models for personalized marketing while maintaining robust data pipelines to ensure seamless executive reporting and business intelligence.

Responsibilities

• Design, train, and deploy statistical and machine learning models (e.g., propensity scoring, next‑best‑action, customer lifetime value, churn prediction) to power hyper‑personalized marketing campaigns and Segment‑of‑One customer experiences
• Construct forecasting models and algorithms across sales, customer, channel, and product data to optimize campaign yields and customer engagement
• Design and evaluate A/B and multivariate tests to optimize marketing interactions across digital touchpoints and product ecosystems
• Build, automate, and maintain scalable data pipelines to cleanse, integrate, and evaluate large, structured and unstructured datasets from multiple disparate internal and external sources
• Ensure high data integrity and reliability for cross‑functional reporting, business intelligence dashboards, and executive decision‑making tools
• Acquire, integrate, and extract new data sources when standard feeds are unavailable to enrich customer and market profiles
• Analyze complex business issues using advanced mathematical, statistical, and scientific concepts to construct strategic and tactical recommendations for leadership
• Identify and interpret emerging customer and market trends to generate new business ideas and support product positioning initiatives
• Partner autonomy and sound judgment with general guidance from leadership to translate technical findings into non‑technical, high‑impact business insights
• Mentor or supervise one or two less experienced professional staff

Requirements

• Bachelor's degree in a relevant field or equivalent experience required, plus 5 years of related experience
• Bachelor's degree in Mathematics, Computer Science, Statistics, or a related quantitative field plus 5+ years of relevant industry experience (or Master's/Ph.D. with 3+ years of experience)
• Must be authorized to work in the United States

Skills

• Advanced proficiency in programming languages such as Python, R, SAS, or SQL for complex data manipulation, algorithmic modeling, machine learning architecture, and pipeline development
• Demonstrated experience in building, testing, and deploying machine learning models, conducting hypothesis testing, automating data cleansing/integration, and collaborating with IT to deploy custom analytical solutions into production environments
• Proven expertise in designing complex A/B tests, power calculations, and geo‑lift/incrementality studies to measure true marketing impact
• Hands‑on experience building predictive customer models (LTV, churn, segmentation) and foundational marketing measurement frameworks (attribution or MMM) using advanced SQL and Python