About this role
Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
［業務内容］ Key Responsibilities
最先端の半導体製造装置から収集される数万点のプロセスデータを、機械学習によりリアルタイムに異常を推論・検知し、プロセスの改善や要因究明を実現する仕組みを開発いただきます。膨大なデータを自由自在に解析することで、不確定要素の多い先端プロセスの早期立ち上げに、広範囲に貢献いただきます。＜具体的業務＞・半導体製造装置データから異常要因を特定できる特徴量の抽出・機械学習を用いたプロセス異常の推定と検知する仕組みの確立・収集された膨大なデータから教師有り学習／教師無し学習によるモデル化・推定・検知されたプロセスから異常なプロセス条件／装置部位を特定し管理する仕組みの開発
You will develop a system that uses machine learning to infer and detect abnormalities in real time from tens of thousands of process data points collected from cutting-edge semiconductor manufacturing equipment, enabling process improvement and root cause identification. By freely analyzing vast amounts of data, you will make extensive contributions to the early launch of advanced processes with many uncertainties.
< specific business >
・Extraction of features from semiconductor manufacturing equipment data that can identify anomalies
・Establishment of mechanisms for estimating and detecting process anomalies using machine learning
・Modeling with supervised and unsupervised learning from the vast amount of collected data
・Development of mechanisms to identify and manage abnormal process conditions and equipment locations from estimated and detected processes
［ポジションの魅力］ Attractive Points of the position
• 国家的に重要な半導体イニシアチブへの参画
• 顧客ポータルプロジェクトに取り組みながら、専門知識を深める
• 急成長する組織でスキルを向上させる
• Envolve in nationally significant semiconductor Initiative
• Expand your expertise while working on customer portal projects
• Improve skills in a rapidly growing organization
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
［応募条件］ Requirements
■必須要件■ Must Have
※経験年数 ： 1 年程度
• 製造現場のデータから異常を検知できるデータ処理
• 機械学習などを用いた推定や検知の仕組み構築
• 機械学習や統計解析によるデータ解析経験
• Python,JAVAなどプログラミング開発経験
• SQLによるデータベースの操作・設計経験
• Excel: 中級レベル以上
• oその他: PCスキル中級以上
• Required years of experience – 1 years
• Data processing that can detect anomalies from manufacturing site data
• Building estimation and detection mechanisms using machine learning and other technologies
• Experience in data analysis using machine learning and statistical analysis
• Experience in programming development such as Python and JAVA
• Experience in operating and designing databases using SQL
• Excel: Intermediate level or higher
• Other: PC skills intermediate or higher
■尚可要件■ Good to Have
• 数理解析の実務に取り組んだ経験半導体関連企業での経験
• 半導体製造などのプロセス現場での実務経験・製造業におけるデータ解析経験
• Experience working in mathematical analysis and experience at semiconductor-related companies
• Practical experience at process sites such as semiconductor manufacturing
• Experience in data analysis in manufacturing
■語学力■ Language Skill
• 英語: 不問
• 日本語‐ JLPT N2 以上
• English : Not mandatory
• Japanese – JLPT N2 or above
[待遇・福利厚生]
◆昇給年1回 ※契約社員は更新のタイミングで見直しあり
◆通勤手当（上限2万円/月）
◆給与詳細：完全年俸制（1/12を毎月支給）
◆残業手当
◆各種社会保険完備
・ 厚生年金
・ 健康保険 （ TJK : 東京都情報サービス産業健康保険組合 ）
・ 雇用保険
・ 労働者災害補償保険
◆健康診断（被扶養者健康診断、人間ドック、婦人科健診など）
◆65歳定年制 ※役職定年なし
◆社内研修制度（オンライン）
◆試用期間3ヶ月、業務・待遇変更なし
◆受動喫煙防止対策：あり（屋内禁煙）
[Welfare]
◆ Salary increment once a year
◆ Commuting allowance (up to 20,000/month)
◆ Salary details: Full annual salary system (1/12 paid monthly)
◆ Overtime allowance
◆ Equipped with various social insurance
・ Welfare pension
・ Health insurance ( Tokyo Information Service Industry Health Insurance Association )
・ Employment insurance
・ Worker's Accident Compensation Insurance
◆ Health checkup (health checkup for dependents, medical checkup, gynecological checkup, etc.)
◆ Retirement age is 65 years old *No retirement age for positions
◆ Referral recruitment system (with benefits)
◆ In-house training system (online)
◆ Trial period: 3 months, no change in duties or benefits
◆ Measures to prevent passive smoking: Yes (no smoking indoors)
[休日休暇]
◆年間休日120日以上
◆完全週休2日制（土・日）
◆祝日
◆年末年始休暇
◆有給休暇
◆産前産後休暇
◆育児休暇
◆介護休暇
◆忌引休暇
※常駐先の業務にともなって休日・休暇は変動の可能性があります。すべて大手メーカーのため、年次休暇などは充実している場合がほとんどです。
[Vacations]
◆ Total holidays: over 120 days off per year
◆ 2-day weekend system (Saturday and Sunday)
◆ National Holidays
◆ New Year holidays
◆ Paid vacation
◆ Prenatal and post-natal leave
◆ Childcare leave
◆ Nursing care leave
◆ Bereavement leave
*Holidays and vacation days may change depending on the work place you are stationed. Since they are all major manufacturers, most have generous annual vacations