Marketing Data Scientist - Hybrid, ML & Insights

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

Benefits offered by this job

Employee discounts

Dress for Your Day

Volunteer opportunities

Canon swag

Referral bonus

401(k) and benefits

Job summary

Canon U.S.A., Inc. is seeking a Data Scientist in Melville, NY to transform marketing, sales and product data into actionable insights.

You will gather data from internal and external sources, clean and merge datasets, and apply programming, statistics and ML to forecast trends and inform executive decisions. The role collaborates with multiple business units and requires a mix of coding, data wrangling and strong communication skills.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience with 3–5 years in analytics/DS.
• Experience with Python, SAS or SQL is preferred.
• Strong background in statistics and quantitative methods.
• Proficiency with analytics tools and report creation technologies.

Responsibilities

• Analyze complex marketing and consumer data to build predictive models.
• Develop data pipelines and dashboards for cross-functional teams.
• Utilize BigQuery and cloud databases for data management.
• Create and communicate actionable insights through Tableau/Power BI.
• Lead experiments and AI-driven automation initiatives.

Skills

Python

SQL

Machine learning

Data visualization

BigQuery

Notebook LM

Google Workspace Studio

Tableau

Power BI

Gen AI

Education

Bachelor's degree in a relevant field

Finance, Mathematics background

Tools

Python

SQL

TensorFlow

Scikit-learn

BigQuery

Tableau

Power BI

Looker

Spark

Hadoop

Notebook LM

Job description

Canon U.S.A., Inc. is seeking a Data Scientist in Melville, NY to transform marketing, sales and product data into actionable insights.

You will gather data from internal and external sources, clean and merge datasets, and apply programming, statistics and ML to forecast trends and inform executive decisions. The role collaborates with multiple business units and requires a mix of coding, data wrangling and strong communication skills.