jjzzjjzz|AV免费播放欧日韩AV|成人视频久久精品一区色网|国产手机精品视频综合在线人人色|久久伊人网站久久看久久|亚洲无吗字幕久久久久久久|国产黄色毛片电影下载|日本自慰少妇福利导航新网址|91蜜臀无码人妻久久精品|亚州日韩欧美综合

職場數(shù)據(jù)點評 讓職場人少走彎路
公司 工資 行業(yè) 專業(yè) 工作 排行榜 找客戶
工作 |
工作 公司 工資 專業(yè)

scientist

field application engineer

該崗位也可以base在蘇州工廠辦公
This position is expected to:
We are seeking an experienced SeniData Scientist to lead our machine learning initiatives.
As a key member of our digital transformation team, the successful candidate will be responsible fdriving forward our data-driven projects, ensuring that we leverage advanced analytics machine learning to optimize business processes enhance decision-making capabilities.
Primary Duties Responsibilities
? Lead the conception, design, development, deployment of machine learning models to address business challenges opportunities.
? Collaborate with cross-functional teams to identify areas where machine learning can add value develop solutions that drive efficiency innovation.
? Utilize Python fprogramming tasks, including but not limited to data preprocessing, algorithm implementation, model testing.
? Perform data analysis to derive insights inform strategic decisions, using statistical methods data visualization tools.
? Develop maintain applications on Microsoft platforms to support data processing analytics workflows.
? Ensure the quality reliability of machine learning systems through rigorous testing validation procedures.
? Stay current with emerging trends technologies in the field of artificial intelligence digitalization to keep the company at the forefront of innovation.
? Other tasks assigned by manager.
Required Qualifications
? Master’s degree in Computer Science, Data Science, Statistics, Engineering, a related field; PhD’s degree preferred.
? Proven experience (minimum 3-5 years) in a similar role, with a focus on machine learning projects.
? Proficiency in programming languages such as Python, SQL, OOP languages like C# Java.
? Experience with data analysis, statistical modeling, machine learning techniques. Strong analytical critical thinking skills to identify patterns trends within data.
? Experience with computer vision, NLP, LLMs fdeveloping advanced AI models.
更新于 2026-03-07
查看更多崗位職責(zé)
崗位職責(zé)
負(fù)責(zé)國外 AE 相關(guān)工作,包括為客戶介紹工具、處理客戶在使用工具過程中的問題,並回報相關(guān)問題給內(nèi)部 RD;
記錄並整理相關(guān) tickets、slides 與 case。
任職要求
英文能力佳,能與國外客戶順暢溝通;
熟悉前端工具流程(如 Comprehensive、Formal、DFT、LEC),具 Conformal 和 Formality debug 經(jīng)驗 2 年以上,能獨立進行 debug 調(diào)試並解決問題;
熟悉 APR flow 芯片物理設(shè)計流程及 RTL/Verilog,具 CAD 背景,熟悉 IC 設(shè)計前端或後端流程(從 RTL 到 GDS),參與過 Functional ECO 項目者尤佳;
熟悉前端工具整合及調(diào)試,能編寫工具操作腳本;
集成電路、電子或通信相關(guān)專業(yè)碩士或以上學(xué)歷;
能配合客戶需求前往美國出差(需具備或可申請美國簽證)。
更新于 2026-04-02
查看更多崗位職責(zé)

工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥29.3K
--
說明:scientist和field application engineer哪個工資高?scientist高于field application engineer。scientist平均工資¥29.3K/月,2026年工資¥K,field application engineer平均工資¥23.3K/月,2026年工資¥K,統(tǒng)計依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

就業(yè)前景區(qū)別(歷年招聘趨勢)

崗位名稱
2025年職位量
較2024年
733
+18%
說明:scientist和field application engineer哪個就業(yè)前景好?scientist2025年招聘職位量 733,較2024年增長了 18%。field application engineer2025年招聘職位量 38,較2024年增長了 27%。統(tǒng)計依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 35.8%
碩士 32.5%
博士 26.2%
不限學(xué)歷 4.3%
大專 1.1%
本科 66.7%
碩士 29.6%
不限學(xué)歷 3.7%
說明:scientist和field application engineer的區(qū)別? scientist需要什么學(xué)歷?本科占35.8%,碩士占32.5%,博士占26.2%,不限學(xué)歷占4.3%,大專占1.1%。 field application engineer需要什么學(xué)歷?本科占66.7%,碩士占29.6%,不限學(xué)歷占3.7%。

經(jīng)驗要求區(qū)別

5-10年 30.9%
不限經(jīng)驗 30.6%
3-5年 22.8%
1-3年 14.2%
應(yīng)屆畢業(yè)生 1.5%
5-10年 40.7%
3-5年 25.9%
不限經(jīng)驗 18.5%
1-3年 14.8%
說明:scientist和field application engineer的區(qū)別? scientist經(jīng)驗要求哪個最多?5-10年占30.9%,不限經(jīng)驗占30.6%,3-5年占22.8%,1-3年占14.2%,應(yīng)屆畢業(yè)生占1.5%。 field application engineer經(jīng)驗要求哪個最多?5-10年占40.7%,3-5年占25.9%,不限經(jīng)驗占18.5%,1-3年占14.8%。

scientist與其他崗位進行PK