社名
社名非公開
職種
ITプロジェクトマネージャー
業務内容
Report directly to Global Head, have a strong influence on the digital strategy of the business
Key position in the Japan IT department | Work directly with business leaders in Japan
Global international company | Flexible working environment | Friendly coworkers
求められる経験
...
What You'll Bring to the Table:
BASIC QUALIFICATIONS:
10+ years of relevant experience in data science/machine learning.
3+ years of managerial experience leading data science teams.
Expert-level knowledge of applied regression techniques (Linear, Logistic, Mixed models, Time Series, GLMs, Simultaneous Equations) and Neural Network models (sales forecasting,).
Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms (neural nets, deep neural nets, boosted trees, SVMs).
Expert-level knowledge of relational databases (SQL) and large-scale distributed systems (Hadoop, Snowflake/Databricks).
Proven ability to conceive and coach the design of end-to-end scripted analytics solutions using Python, Scala, Java, or R, and modern analytical systems (Spark + Hadoop/Databricks/Snowflake).
PREFERRED QUALIFICATIONS:
Advanced degree (Master's or Ph.D. preferred) in Applied Econometrics, Computer Science, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field.
Industry or consulting experience, along with strong project management skills.
保険
健康保険,労災保険
待遇・福利厚生
食堂
休日休暇
日曜日,土曜日,祝日
給与
年収1,800 ~ 2,500万円
賞与
-
雇用期間
期間の定めなし
show more
社名
社名非公開
職種
ITプロジェクトマネージャー
業務内容
Report directly to Global Head, have a strong influence on the digital strategy of the business
Key position in the Japan IT department | Work directly with business leaders in Japan
Global international company | Flexible working environment | Friendly coworkers
求められる経験
What You'll Bring to the Table:
BASIC QUALIFICATIONS:
10+ years of relevant experience in data science/machine learning.
3+ years of managerial experience leading data science teams.
Expert-level knowledge of applied regression techniques (Linear, Logistic, Mixed models, Time Series, GLMs, Simultaneous Equations) and Neural Network models (sales forecasting,).
Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms (neural nets, deep neural nets, boosted trees, SVMs).
Expert-level knowledge of relational databases (SQL) and large-scale distributed systems (Hadoop, Snowflake/Databricks).
Proven ability to conceive and coach the design of end-to-end scripted analytics solutions using Python, Scala, Java, or R, and modern analytical systems (Spark + Hadoop/Databricks/Snowflake).
...
PREFERRED QUALIFICATIONS:
Advanced degree (Master's or Ph.D. preferred) in Applied Econometrics, Computer Science, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field.
Industry or consulting experience, along with strong project management skills.
保険
健康保険,労災保険
待遇・福利厚生
食堂
休日休暇
日曜日,土曜日,祝日
給与
年収1,800 ~ 2,500万円
賞与
-
雇用期間
期間の定めなし
show more