招聘
必备技能
Python
SQL
Tableau
Machine Learning
Qualification and Experience:
- B. Tech /B.E. (Computer Science Stream is preferred) with 4+ years of professional experience with at least 2 years in relevant job.
Job Responsibilities:
- Working with LGR stakeholders to drive data-driven decision-making within the Corporate Legal department.
- Establishes system documentation and ensures it is continually sustained
- Utilize Python and data engineering techniques to collect, clean, and transform legal data for analysis.
- Develop and implement data visualization solutions using PowerBI/Tableau to effectively communicate legal insights to stakeholders.
- Apply statistical and data analysis techniques to extract meaningful insights from legal data and provide actionable recommendations.
- Reviewing and improving existing systems and collaborating with teams to increase efficiency and productivity of the impacted teams
Required Skill set
-
Technical
-
Proficient in data engineering (data wrangling and blending) using Python
-
Experience in read/write SQL queries for reporting needs
-
Proficient in developing visual reports, dashboards and KPI scorecards using Power BI/Tableau
-
Basic working knowledge of Prompt Engineering
-
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
Required Skill set
-
Soft
-
Ability to work closely with others to execute projects rapidly in a multi-disciplinary environment
-
Problem solving aptitude and analytical mindset with great business sense
-
Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
-
Goal-oriented, motivated self-starter with excellent organizational skills and ability to handle multiple tasks
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关于Honeywell

Honeywell
PublicHoneywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building automation, industrial automation, and energy and sustainability solutions (ESS).
10,001+
员工数
Charlotte
总部位置
$130B
企业估值
评价
2.3
2条评价
工作生活平衡
2.5
薪酬
3.5
企业文化
2.0
职业发展
2.0
管理层
1.5
15%
推荐给朋友
优点
Good compensation potential
Competitive pay scale
缺点
Poor communication from recruiters
Inadequate safety training
Poor management response to incidents
薪资范围
901个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · AI Engineer II
1份报告
$136,500
年薪总额
基本工资
$105,000
股票
-
奖金
-
$136,500
$136,500
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
录用率
33%
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Assessment/Testing
5
Final Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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