The Role
Build and deploy machine learning, predictive marketing, forecasting, and experimentation models. Develop scalable data pipelines, integrate diverse data sources, maintain data integrity, and deliver executive reporting insights. Analyze customer and market trends, support marketing measurement and product positioning, and translate complex technical findings into strategic recommendations. The role also involves mentoring junior staff and collaborating with IT to deploy analytical solutions.
Summary Generated by Built In
About the RoleAs a Senior Data Scientist (Sr. Data Scientist) at Canon U.S.A., you will bridge advanced quantitative analysis with business execution across our business units. A fully qualified, seasoned professional with a full understanding of the job role, working on more complicated issues facing the department. Receives general instruction from manager on new assignments but little to no direction in day-to-day work. Typically reports to a Manager or Senior Manager, and may mentor or supervise one or two less experienced professional staff. Sitting at the intersection of marketing technology and enterprise analytics, this developing professional 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. 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- 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 - Analyzes business problems using data from internal and external sources, scientific methods, and advanced mathematical and statistical concepts and theories to provide insight to decision-makers - Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge - Identifies and interprets trends and generates new business ideas. Able to acquire, integrate and extract new data sources when not available - Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources - May analyze and assess issues affecting product positioning and construct strategic and tactical plans to address them - Possesses specialized knowledge or skills in a particular functional area - A fully qualified, seasoned professional with a full understanding of the job role who works on more complicated issues facing the department - Receives general instruction from manager on new assignments but little to no direction in day-to-day work - Typically reports to a Manager or Senior Manager, and may mentor or supervise one or two less experienced professional staff
About You: The Skills & Expertise You Bring- 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) - Statistical and or quantitative background preferred - 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 - Proven technical leadership, data architecture and governance knowledge, and the ability to work with autonomy and minimal direction on complex business problems Preferred Qualifications Include: - Google Analycs (GA4) - Familiarity th cloud analytics infrastructure (GCP) - Data Visualition & Analytic Tools (Tableau, Power BI) - HTML Coding long with CSS/JavaScript basics) - Adobe Platfos (AEM, Adobe Target, Magento) - CERTIFICATION(S) & LICENSE(S) (if applicable) - OTHER EXPECTATIONS (including field of education, motor vehicle, travel, OT) - The ability to mentor, train and instruct up to two less experienced department staff members We are providing the anticipated salary range for this role: $92,210 - $138,080 annually.
Company OverviewAbout 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 DescriptionHybrid - 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-HYBRIDSkills Required
- Bachelor's degree in a relevant field or equivalent experience
- Bachelor's degree in Mathematics, Computer Science, Statistics, or a related quantitative field
- At least 5 years of relevant industry or related experience
- Master's or Ph.D. with at least 3 years of experience as an alternative qualification
- Statistical or quantitative background
- Advanced proficiency in Python, R, SAS, or SQL
- Experience building, testing, and deploying machine learning models
- Experience conducting hypothesis testing
- Experience automating data cleansing and integration
- Experience collaborating with IT to deploy analytical solutions into production
- Expertise designing A/B tests, power calculations, and geo-lift or incrementality studies
- Experience building predictive customer models for lifetime value, churn, and segmentation
- Experience with marketing measurement frameworks such as attribution or marketing mix modeling
- Advanced SQL and Python experience
- Technical leadership, data architecture, and data governance knowledge
- Ability to work autonomously on complex business problems
- Google Analytics 4 familiarity
- Familiarity with cloud analytics infrastructure, including GCP
- Experience with Tableau or Power BI
- HTML coding and basic CSS and JavaScript knowledge
- Experience with Adobe Experience Manager, Adobe Target, or Magento
- Ability to mentor, train, and instruct up to two less experienced staff members
- Legal authorization to work in the United States
- Residence in the United States at the time of hire
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The Company
What We Do
Living and Working Together For The Common Good... - Kyosei Kyosei unites Canon and its employees in contributing to the prosperity of humanity and the protection of the world we share. As a leading provider of consumer, business-to-business, and industrial digital imaging solutions, our determination to live and work together for the common good permeates everything we do, from research and development, to product manufacturing, marketing, sales and distribution.








