Canon U.S.A.

Data Scientist

Melville, NY

Live, first seen by us 42 days ago

Pay: $69,300–103,770/year — pay source
Bachelor's degree required in Finance, Mathematics, along with statistical and strong analytical skills and thorough knowledge of MS Office - Experience with data tool such as Python, SAS or SQL preferred - Statistical and or quantitative background preferred - Functional knowledge of analytical tools and report creation technologies preferred Skills Required: - Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving - Business acumen and communication skills - Excel/Google Sheets and data analysis techniques - BigQuery experience - Proven Generative AI work experience - Expert at Notebook LM and Google Workspace Studio We are providing the anticipated salary range for this role: $69,300 - $103,770 annually Company Overview
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Work setting: Not stated
Employment: Employment terms need review — employment source
-Employee referral bonus -Employee discounts -“Dress for Your Day” attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can’t get anywhere else †Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers’ site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA Workstyle Description Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs. Posting Tags #PM19 #LI-AV1 #LI-HYBRID #ID22
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Before you apply

Work authorization: Must already have the right to work in the USYou must be legally authorized to work in the United States

Eligibility: All applicants must reside in the United States at the time of hire. — eligibility source
-Employee referral bonus -Employee discounts -“Dress for Your Day” attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can’t get anywhere else †Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers’ site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA Workstyle Description
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What you’ll work on

Full posting

Canon USA in Melville, NY is currently seeking a Data Scientist, a developing professional, working towards full proficiency.

Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources .

Build and evaluate predictive models such as churn, customer lifetime value, and trend forecasts
Write BigQuery queries and build pipelines that clean and integrate marketing data
Build self-serve dashboards in Tableau that turn model results into daily insights
Design and deploy custom Gemini Gems and AI agents for marketing tasks
Run A/B tests and experiments to validate business hypotheses

From the employer’s posting

Canon USA in Melville, NY is currently seeking a Data Scientist, a developing professional, working towards full proficiency. This position works across the company with all Canon business units and departments. In this role a candidate will gather data from a variety of internal and external sources, clean and amalgamate the data, and use programming, math, statistical and analytical skills to interpret data. The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and divisions understand customers and market trends, forecasting, and works to improve internal processes through a wide variety of methods and tools. This is a role that requires a diverse set of skills, creative thinking and analytical work, coding, a desire to learn and grow personal skill sets. This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs. Your Impact

Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources . Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI). - Data Engineering & Cloud Databases: Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams. - Self-Serve Analytics & Visualization: Empowers cross-functional marketing teams by building dynamic, self-serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights. - Generative AI & Automation Hubs: Guides the marketing division’s understanding, strategy, and adoption of Gemini and Gen AI . Leverages Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research. - AI Agents & Customs Bots: Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks like copywriting, campaign analysis, and translation. Evaluates and deploys AI Agents to optimize marketing operation. - Workspace Automation: Facilitates the team's operational migration to Google Workspace. Automates cross-app marketing workflows (linking Sheets, Gmail, Docs, and Calendar) using Google Apps Script to eliminate manual bottlenecks. - Data Collection/Preparation & Data Analysis/Reporting: Gather large, structured and unstructured datasets. Clean, transform, and preprocess data for analysis. Handle missing data, anomalies, and feature engineering. Analyze business data (sales, marketing, operations). - Predictive & Prescriptive Insights: Forecast trends and outcomes (e.g., churn, sales predictions), Recommend actions based on model outputs. Identify trends, patterns, and anomalies. Answer questions like: “What happened?” “Why did performance drop last quarter?” - Programming & Tools: Work with: Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies (Spark, Hadoop) when needed - Data Visualization & Communication: Present complex findings in understandable formats, Build visualizations or dashboards to communicate insights. Create recurring reports and dashboards. Build dashboards using tools like: Power BI, Tableau, Looker. Focus on clarity and usability for business users. - Experimentation: Conduct A/B testing, Design experiments to validate hypotheses - Data Quality & Governance: Ensure consistency and reliability of data. Validate reports and metric. About You: The Skills & Expertise You Bring

Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI)

Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams.

building dynamic, self-serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights

Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks

Conduct A/B testing, Design experiments to validate hypotheses

Apply at Canon U.S.A.

Posting record

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Status in our records: Live
First seen by us: Sep 23, 202642 days ago
Recorded sightings: 78
Last seen by us: Nov 4, 2026
Reposted: once since Jun 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

Lower than most similar jobs

$69.3K–$104K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 42

Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Canon U.S.A. is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace
25% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SAS
SQL
BigQuery
Excel
GCP
Hadoop
Looker
Power BI
Spark
Tableau
Matplotlib
scikit-learn
TensorFlow

Where the posting names them

- Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources . Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI). - Data Engineering & Cloud Databases: Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams. - Self-Serve Analytics & Visualization: Empowers cross-functional marketing teams by building dynamic, self-serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights. - Generative AI & Automation Hubs: Guides the marketing division’s understanding, strategy, and adoption of Gemini and Gen AI . Leverages Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research. - AI Agents & Customs Bots: Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks like copywriting, campaign analysis, and translation. Evaluates and deploys AI Agents to optimize marketing operation. - Workspace Automation: Facilitates the team's operational migration to Google Workspace. Automates cross-app marketing workflows (linking Sheets, Gmail, Docs, and Calendar) using Google Apps Script to eliminate manual bottlenecks. - Data Collection/Preparation & Data Analysis/Reporting: Gather large, structured and unstructured datasets. Clean, transform, and preprocess data for analysis. Handle missing data, anomalies, and feature engineering. Analyze business data (sales, marketing, operations). - Predictive & Prescriptive Insights: Forecast trends and outcomes (e.g., churn, sales predictions), Recommend actions based on model outputs. Identify trends, patterns, and anomalies. Answer questions like: “What happened?” “Why did performance drop last quarter?” - Programming & Tools: Work with: Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies (Spark, Hadoop) when needed - Data Visualization & Communication: Present complex findings in understandable formats, Build visualizations or dashboards to communicate insights. Create recurring reports and dashboards. Build dashboards using tools like: Power BI, Tableau, Looker. Focus on clarity and usability for business users. - Experimentation: Conduct A/B testing, Design experiments to validate hypotheses - Data Quality & Governance: Ensure consistency and reliability of data. Validate reports and metric. About You: The Skills & Expertise You Bring

- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience. Bachelor's degree required in Finance, Mathematics, along with statistical and strong analytical skills and thorough knowledge of MS Office - Experience with data tool such as Python, SAS or SQL preferred - Statistical and or quantitative background preferred - Functional knowledge of analytical tools and report creation technologies preferred Skills Required: - Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving - Business acumen and communication skills - Excel/Google Sheets and data analysis techniques - BigQuery experience - Proven Generative AI work experience - Expert at Notebook LM and Google Workspace Studio We are providing the anticipated salary range for this role: $69,300 - $103,770 annually Company Overview

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About the Role

Canon USA in Melville, NY is currently seeking a Data Scientist, a developing professional, working towards full proficiency. This position works across the company with all Canon business units and departments. In this role a candidate will gather data from a variety of internal and external sources, clean and amalgamate the data, and use programming, math, statistical and analytical skills to interpret data. The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and divisions understand customers and market trends, forecasting, and works to improve internal processes through a wide variety of methods and tools. This is a role that requires a diverse set of skills, creative thinking and analytical work, coding, a desire to learn and grow personal skill sets. This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.

Your Impact

- Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources . Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI). - Data Engineering & Cloud Databases: Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams. - Self-Serve Analytics & Visualization: Empowers cross-functional marketing teams by building dynamic, self-serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights. - Generative AI & Automation Hubs: Guides the marketing division’s understanding, strategy, and adoption of Gemini and Gen AI . Leverages Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research. - AI Agents & Customs Bots: Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks like copywriting, campaign analysis, and translation. Evaluates and deploys AI Agents to optimize marketing operation. - Workspace Automation: Facilitates the team's operational migration to Google Workspace. Automates cross-app marketing workflows (linking Sheets, Gmail, Docs, and Calendar) using Google Apps Script to eliminate manual bottlenecks. - Data Collection/Preparation & Data Analysis/Reporting: Gather large, structured and unstructured datasets. Clean, transform, and preprocess data for analysis. Handle missing data, anomalies, and feature engineering. Analyze business data (sales, marketing, operations). - Predictive & Prescriptive Insights: Forecast trends and outcomes (e.g., churn, sales predictions), Recommend actions based on model outputs. Identify trends, patterns, and anomalies. Answer questions like: “What happened?” “Why did performance drop last quarter?” - Programming & Tools: Work with: Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies (Spark, Hadoop) when needed - Data Visualization & Communication: Present complex findings in understandable formats, Build visualizations or dashboards to communicate insights. Create recurring reports and dashboards. Build dashboards using tools like: Power BI, Tableau, Looker. Focus on clarity and usability for business users. - Experimentation: Conduct A/B testing, Design experiments to validate hypotheses - Data Quality & Governance: Ensure consistency and reliability of data. Validate reports and metric.

About You: The Skills & Expertise You Bring

- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience. Bachelor's degree required in Finance, Mathematics, along with statistical and strong analytical skills and thorough knowledge of MS Office - Experience with data tool such as Python, SAS or SQL preferred - Statistical and or quantitative background preferred - Functional knowledge of analytical tools and report creation technologies preferred Skills Required: - Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving - Business acumen and communication skills - Excel/Google Sheets and data analysis techniques - BigQuery experience - Proven Generative AI work experience - Expert at Notebook LM and Google Workspace Studio We are providing the anticipated salary range for this role: $69,300 - $103,770 annually

Company Overview

About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years†. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at https://www.linkedin.com/company/canonusa.

Who We Are

Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation.

What We Offer

You’ll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits.

And Even More Perks!

-Employee referral bonus -Employee discounts -“Dress for Your Day” attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can’t get anywhere else †Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers’ site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA

Workstyle Description

Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.

Posting Tags

#PM19 #LI-AV1 #LI-HYBRID #ID22

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