Hybrid Senior Data Scientist - Personalization & ML

Canon Solutions America; Melville (NY); Hybrid; USD 92,000 - 138,000; Full time

Benefits offered by this job

Employee referral bonus

Employee discounts

Dress for Your Day attire program

Job summary

Canon U.S.A. seeks a Senior Data Scientist to bridge advanced quantitative analysis with business execution across business units. You will build high-performing machine learning models for personalized marketing while maintaining robust data pipelines for executive reporting and BI.

The role involves mentoring staff, collaborating with IT and marketing, and delivering actionable insights to drive customer growth. Hybrid schedule in NYC area, strong Python/SQL foundation required.

Qualifications

• Bachelor's degree in a quantitative field with 5+ years of industry experience.
• Advanced proficiency in Python, R, SAS, or SQL for data manipulation and modeling.
• Experience building ML models and deploying analytical solutions to production.

Responsibilities

• Design, train, and deploy ML models for marketing personalization.
• Build scalable data pipelines and ensure data quality for BI dashboards.
• Lead and interpret A/B and multivariate tests to optimize campaigns.
• Collaborate with IT and marketing to translate findings into business actions.

Skills

Propensity scoring

Next-best-action

Customer lifetime value

Churn prediction

Python

R

SAS

SQL

A/B testing

Machine learning

Education

Bachelor's degree in Mathematics, Computer Science, Statistics, or related quantitative field

5+ years of related industry experience (or 3+ years with Master’s/Ph.D.)

Tools

Python

R

SAS

SQL

Tableau

Power BI

GA4

HTML/CSS/JavaScript basics

Job description

Canon U.S.A. seeks a Senior Data Scientist to bridge advanced quantitative analysis with business execution across business units. You will build high-performing machine learning models for personalized marketing while maintaining robust data pipelines for executive reporting and BI.

The role involves mentoring staff, collaborating with IT and marketing, and delivering actionable insights to drive customer growth. Hybrid schedule in NYC area, strong Python/SQL foundation required.