Jobs
Required skills
Python
Tableau
Machine Learning
Career Area:
Engineering
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Machine Data Analytics section in EXD product group (EXD) is seeking a data analytics engineer. This position will plan and execute an alley of data analytics that support the development of new products, features, and services as well as product support for our customers.
EXD製品グループ車両データ分析課では、データ分析エンジニアを募集しています。このポジションでは、新製品や機能・サービスの開発および製品保守などを支援する為の様々なデータ分析業務を計画・遂行します。
Job Responsibilities:
- Plan big data collection from global population of IoT construction machines
- Configure telematics systems for data transmission
- Collect large-scaled telematics data and construct databases
- Collaborate with CAT Digital to maximize the usability of the big data via enterprise systems
- Analyze and interpret data to provide value-added insights to support product design & development
- Implement trending, prediction, and alert features with data science, machine learning, and AI tools
- Visualize and present analysis results with BI tools
- Automate big data analysis processes using AI
- 世界各地のIoT建機からのビッグデータ収集計画
- テレマティックスシステムへのデータ通信機能コンフィグレーション
- テレマティックスデータ収集とデータベース構築
- キャタピラー社デジタル部門と協業し基幹システムによるデータ可用性の最大化
- ビッグデータを分析・解釈して付加価値のある知見を製品設計・開発にフィードバック
- データサイエンス・機械学習・AIを駆使して傾向分析、予測、警告機能を実装
- BIツールを用いた分析結果の視覚化とプレゼンテーション
- ビッグデータ分析プロセスの自動化およびAI活用
Basic Qualifications:
- Bachelor’s or higher degree in an engineering or scientific field
- Minimum three years of work experience as a mechanical or IT engineer in a relevant technical domain
- Ability to leverage technical expertise to contribute to effective project execution
- Basic communication skills in business English
- Ability to apply logical thinking and statistical approaches
- Interest in the development of Caterpillar products such as hydraulic excavators
- 理工学系 学士号・修士号・博士号 取得者
- 機械系もしくはIT系エンジニアとして、いずれかの領域で3年以上の実務経験を持つ方
- 専門性を活かしてプロジェクト推進に貢献できる方
- 英語で基本的な業務コミュニケーションがとれる方
- 論理的・統計的思考が得意な方
- 油圧ショベル等キャタピラー製品の開発に興味がある方
Top Candidates Will Also Have:
- Practical knowledge of construction machinery and their applications
- Basic programming and machine learning experience (e.g., Python, DevOps)
- Experience working with relational databases (e.g., Snowflake, MySQL)
- Experience with data visualization tools (e.g., Tableau, PowerBI)
- Strong intellectual curiosity
- 建設機械製品とその用途についての実践知識
- プログラミング・機械学習についての基礎知識(例:Python, DevOps)
- リレーショナルデータベースについての基礎知識(例:Snowflake, MySQL)
- BIツールでのデータ視覚化についての基礎知識(例:Tableau, PowerBI)
- 旺盛な知的好奇心
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
March 19, 2026 - March 31, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.
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About Caterpillar

Caterpillar
PublicCaterpillar Inc. is an American construction, mining, and other engineering equipment manufacturer. The company is the world's largest manufacturer of construction equipment. In 2018, Caterpillar was ranked number 73 on the Fortune 500 list and number 265 on the Global Fortune 500 list.
10,001+
Employees
Peoria
Headquarters
$127B
Valuation
Reviews
3.5
3 reviews
Work-life balance
2.5
Compensation
3.0
Culture
2.0
Career
2.0
Management
2.5
25%
Recommend to a friend
Pros
Strong company brand and reputation
Supportive management willing to fund training
Trusted team member with recognized expertise
Cons
Limited internal advancement opportunities
Company loyalty not rewarded with career growth
Heavy extroverted culture difficult for introverts
Salary Ranges
14 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Mid/L4 · Data Scientist II
1 reports
$123,438
total per year
Base
$94,952
Stock
-
Bonus
-
$123,438
$123,438
Interview experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer rate
43%
Experience
Positive 43%
Neutral 43%
Negative 14%
Interview process
1
Application Review
2
Online Assessment
3
Technical Interview
4
Final Round Interview
5
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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