グローバルでサービスを展開する大手外資系ITサービス企業でのData Scientistの求人
求人ID:159787
募集終了
転職求人情報
職種
Data Scientist
ポジション
担当者
おすすめ年齢
20代
30代
40代
50代以上
年収イメージ
応相談(経験・能力を考慮の上当社規定により決定)
仕事内容
・Provide guidance and deliver solutions to organization to enable them building all required data capabilities in organization covering data management, data governance, data catalog, data architecture etc.
・Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
・Support in defining the overall business and IT capabilities w.r.t Data architecture and sets technical direction, defines component architecture, and reviews detailed designs for accuracy and overall compliance to defined data architecture;
・Develop standards, best practices, and reference designs for the implementation of Data Management solutions.
・Work with executives and other business leaders to identify opportunities for improvement w.r.t Data
・Collaborate with team members to collect and analyze data
・Establish Data KPIs to measure the effectiveness of business decisions
・Structure large data sets to find usable information
・Work with a team of analysts and other associates to process information
・Create presentations and reports based on recommendations and findings
・Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
・Support in defining the overall business and IT capabilities w.r.t Data architecture and sets technical direction, defines component architecture, and reviews detailed designs for accuracy and overall compliance to defined data architecture;
・Develop standards, best practices, and reference designs for the implementation of Data Management solutions.
・Work with executives and other business leaders to identify opportunities for improvement w.r.t Data
・Collaborate with team members to collect and analyze data
・Establish Data KPIs to measure the effectiveness of business decisions
・Structure large data sets to find usable information
・Work with a team of analysts and other associates to process information
・Create presentations and reports based on recommendations and findings
必要スキル
・Relevant Experience Required (10+ Yrs.)
・Total IT Experience (10 Yrs.)
Direct experience in Data Science, including analyzing and deriving data, machine learning, metadata management, data architecture, data quality and metadata related output
Strong experience in different type of “Data Analysis” covering business data, metadata, master data, analytical data.
●Language Requirement
Japanese & English
●Essential skill sets
・Proven experience as a Data Scientist or Data Analyst
・Experience in data mining
・Understanding of machine-learning and operations research
・Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
・Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
・Analytical mind and business acumen
・Strong math skills (e.g. statistics, algebra)
・Problem-solving aptitude
・Excellent communication and presentation skills
・BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
・Identify valuable data sources and automate collection processes
・Undertake preprocessing of structured and unstructured data
・Analyze large amounts of information to discover trends and patterns
・Build predictive models and machine-learning algorithms
・Combine models through ensemble modeling
・Present information using data visualization techniques
・Propose solutions and strategies to business challenges
・Collaborate with engineering and product development teams
・Analyze and derive trends and opportunities from different types of data
●Desirable skill sets
・Data Management solutions with capabilities, such as Data Ingestion, Data Curation, Metadata and Catalog, Data Security, Data Modeling, Data Wrangling
・Total IT Experience (10 Yrs.)
Direct experience in Data Science, including analyzing and deriving data, machine learning, metadata management, data architecture, data quality and metadata related output
Strong experience in different type of “Data Analysis” covering business data, metadata, master data, analytical data.
●Language Requirement
Japanese & English
●Essential skill sets
・Proven experience as a Data Scientist or Data Analyst
・Experience in data mining
・Understanding of machine-learning and operations research
・Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
・Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
・Analytical mind and business acumen
・Strong math skills (e.g. statistics, algebra)
・Problem-solving aptitude
・Excellent communication and presentation skills
・BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
・Identify valuable data sources and automate collection processes
・Undertake preprocessing of structured and unstructured data
・Analyze large amounts of information to discover trends and patterns
・Build predictive models and machine-learning algorithms
・Combine models through ensemble modeling
・Present information using data visualization techniques
・Propose solutions and strategies to business challenges
・Collaborate with engineering and product development teams
・Analyze and derive trends and opportunities from different types of data
●Desirable skill sets
・Data Management solutions with capabilities, such as Data Ingestion, Data Curation, Metadata and Catalog, Data Security, Data Modeling, Data Wrangling
就業場所
就業形態
正社員
企業名
グローバルでサービスを展開する大手外資系ITサービス企業
企業概要
グローバルでサービスを展開する大手外資系ITサービス企業
企業PR
数々のグローバル企業に価値をもたらしてきた、業界最高水準のITサービスやソリューションをお客様に提供します。
業務カテゴリ
組織カテゴリ
備考
関連キーワード
データサイエンティストの求人情報
事業会社の求人情報
グローバルの求人情報
転職体験記
- 初めての転職、大手銀行から大手監査法人へ(20代/女性/私立大学卒)
- 外資系大手生命保険会社で再びシステム開発の業務へ(30代/女性/私立大学卒)
- チャレンジできる環境を求めて、インターネットメディアと人材ビジネスを手掛ける企業へ(20代/男性/私立大学院卒)
- 研究開発の経験を活かして、損害保険会社へ(40代/男性/公立大学卒)
- これまでのスキルを活かして、ホワイト企業認定取得の上場ソフトウェアテスト企業へ(40代/男性/専門学校卒)
- 希望を叶え満足の内定、大手運用会社でのシステムエンジニアへ(20代/男性/国立大学院卒)
- ITマネージャーの経験を活かして、外資系総合商社へ(40代/男性/私立大学院卒)
- システム担当としての経験を活かしつつ希望の勤務地へ、独立系投信投資顧問へ(40代/男性/私立大学卒)
- 希望を叶えて、日系大手証券会社へ(30代/男性/私立大学院卒)
- ITコンサルタントとしての経験を活かして、外資系大手試験・認証機関へ(40代/男性/海外大学卒)