Marketing Data Scientist: AI, ML & Predictive Insights

Canon USA; Melville (NY); Hybrid; USD 69,000 - 104,000; Full time

Benefits offered by this job

Employee referral bonus

Employee discounts

Dress for Your Day attire

Volunteer opportunities

Canon welcome kit and official merch

Job summary

Canon USA in Melville, NY seeks a Data Scientist to analyze data across business units, build predictive models, and translate insights into strategic actions using Python, SQL, and GCP.

The role supports hybrid work (office Mon–Wed) with some remote days, and emphasizes data warehousing with BigQuery, dashboards in Tableau/Looker, and Generative AI-driven automation for marketing tasks.

Qualifications

• Bachelor’s degree is required plus 3–5 years of related experience.
• Experience with data tools such as Python, SAS or SQL preferred.
• Statistical/quantitative background is preferred.
• Functional knowledge of analytical tools and reporting technologies preferred.

Responsibilities

• Develop predictive models and analytics using Python and GCP Vertex AI.
• Build and manage BigQuery datasets and data pipelines.
• Create self-serve analytics dashboards in Tableau/Power BI/Looker.
• Guide adoption of Generative AI tools (Gem AI, Gemini) and automate marketing tasks.
• Automate cross-app marketing workflows using Google Apps Script.
• Forecast trends and provide actionable insights for business decisions.

Skills

Python

SQL

Machine learning

Statistics

Tableau

Power BI

Matplotlib

Looker

Data wrangling

Preprocessing

Critical thinking

Problem solving

Business acumen

Communication skills

Excel/Google Sheets

BigQuery

Generative AI

Notebook LM

Google Workspace Studio

Education

Bachelor’s degree (Finance/Math)

Tools

SAS

BigQuery

Notebook LM

Job description

Canon USA in Melville, NY seeks a Data Scientist to analyze data across business units, build predictive models, and translate insights into strategic actions using Python, SQL, and GCP.

The role supports hybrid work (office Mon–Wed) with some remote days, and emphasizes data warehousing with BigQuery, dashboards in Tableau/Looker, and Generative AI-driven automation for marketing tasks.