C

Canon

Global imaging, optics, and office solutions

Data Scientist

Data SciencePosted on Nov 5
Full-timeMelville, NY, USA$69.3k - $103.8k /yr

About the Job

Requirements

  • A bachelor's degree in a relevant field or equivalent experience is required, along with 3 to 5 years of related experience.
  • A bachelor's degree in Finance or Mathematics is required, along with statistical and strong analytical skills and thorough knowledge of Microsoft Office.
  • Experience with data tools such as Python, SAS, or SQL is preferred.
  • A statistical or quantitative background is preferred.
  • Functional knowledge of analytical tools and report creation technologies is preferred.
  • Programming skills in Python and SQL are required.
  • Knowledge of machine learning and statistics is required.
  • Data visualization skills using Tableau, Power BI, Matplotlib, or Looker are required.
  • Data wrangling and preprocessing skills are required.
  • Critical thinking and problem-solving skills are required.
  • Business acumen and communication skills are required.
  • Knowledge of Excel or Google Sheets and data analysis techniques is required.
  • BigQuery experience is required.
  • Proven generative AI work experience is required.
  • Expertise in NotebookLM and Google Workspace Studio is required.

Responsibilities

  • Gather data from internal and external sources, clean and integrate it, and use programming, mathematics, statistical, and analytical skills to interpret it.
  • Work with sales, customer, channel, and product data to develop business insights and predictive results that influence executive decisions.
  • Help business units and divisions understand customers, market trends, and forecasting, and improve internal processes using a wide variety of methods and tools.
  • Analyze complex marketing and consumer behavior problems using internal CRM, web, and sales data and external market and advertising-platform data.
  • Build, evaluate, and deploy predictive models, including attribution modeling, customer lifetime value, churn forecasting, and trend analysis, using Python and Google Cloud Platform Vertex AI.
  • Construct optimized queries and manage complex datasets in BigQuery.
  • Clean, integrate, and automate pipelines for large, disparate marketing data streams.
  • Build self-service analytics dashboards in Tableau for cross-functional marketing teams and translate models into actionable strategic insights.
  • Guide the marketing division's understanding, strategy, and adoption of Gemini and generative AI.
  • Use Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research.
  • Design, configure, and demonstrate customized Gems or other AI solutions to help marketing teams scale tasks such as copywriting, campaign analysis, and translation.
  • Evaluate and deploy AI agents to optimize marketing operations.
  • Automate cross-app marketing workflows linking Sheets, Gmail, Docs, and Calendar using Google Apps Script.
  • Gather large structured and unstructured datasets; clean, transform, and preprocess data for analysis; handle missing data and anomalies; and perform feature engineering.
  • Analyze sales, marketing, and operations data; forecast trends and outcomes such as churn and sales; recommend actions based on model outputs; identify trends, patterns, and anomalies; and investigate questions about performance changes.
  • Use Python, R, SQL, machine learning frameworks such as TensorFlow and scikit-learn, and big data technologies such as Spark and Hadoop when needed.
  • Present complex findings in understandable formats, build visualizations and dashboards to communicate insights, create recurring reports and dashboards, and focus on clarity and usability for business users.
  • Conduct A/B testing and design experiments to validate hypotheses.
  • Ensure data consistency and reliability, and validate reports and metrics.

Desired Qualifications

  • Experience with data tools such as Python, SAS, or SQL is preferred.
  • A statistical or quantitative background is preferred.
  • Functional knowledge of analytical tools and report creation technologies is preferred.

About the Company

Canon

Global imaging, optics, and office solutions

Canon makes imaging and optical products for consumers and businesses, including cameras, lenses, printers, and document-management software, plus industrial lithography equipment, OLED manufacturing machinery, and medical imaging systems. Its products work by using precision optics, sensors, and imaging software to capture and process images, while industrial gear relies on optical precision for chip and display fabrication and medical devices provide MRI/CT/ultrasound diagnostics. Canon differentiates itself with an end-to-end portfolio across consumer imaging, office solutions, industrial equipment, and medical imaging, backed by deep optics and sensors expertise, global scale, and ongoing R&D and acquisitions. Its goal is to keep leading in imaging and optics while expanding into high-value industrial and medical markets, delivering reliable hardware and software that power digital workflows, manufacturing, and patient care under its Kyosei sustainability philosophy.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1937

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