スキルハウスの採用情報

Data Science Engineer (Fraud Prevention)

役職:

Data Science Engineer (Fraud Prevention)

雇用形態:

正社員

給与:

勤務時間:

English Level - Fluent (TOEIC 990),Japanese Level - None

職務内容

 

 


A Global IT firm is looking for a Data Science Engineer for its Fraud Prevention Section. 

Responsibilities:
- Work on Machine Learning model training for diverse type of businesses
- Be hands-on, starting from participation with business units (BUs)
- Understand the problem statement and set technical requirements
- Train models and explain the results
- Deploy the model to production to achieve impact

Required Skills:
- Bachelor's degree or above in computer science, Information Systems, or a related field
- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions
- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques
- Familiar with data mining concepts and machine learning algorithms
- 5+ years’ experience in Machine Learning Modelling, especially using Python as a programming language
- Experience with common Linux commands and Linux scripting languages
- Experience with Hadoop, MapReduce, HDFS and Big Data querying tools, such as Tez, Hive, and Impala
- Experience with designing and building tools based on specific requirements
- Experience with building and maintaining data science platform

Why should you apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment


Company Details:
Our client is a Global company with a strong presence across several business divisions. It has enjoyed sustained growth both domestically and overseas, including US and Europe. It proud itself of a diverse and international environment and a strong focus on equal opportunities, which translates into plenty of career opportunities. Given the variety of businesses, it deals with a strong variety of technologies so it is a great place to expand your skills!
Also, employees are welcome to choose their own setup (Windows/Mac, etc.); whatever makes them comfortable! Free meals are also provided at the company cafeteria. Their chefs work to create exciting new menus and dishes, so employees never get tired of the food!

Work Hours : 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style : Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays : Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process:  3~4 times


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