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Machine Learning Expert Tokyo

TBG-019842
Position

03-03 Machine Learning Expert/マシンラーニングエキスパート

Company

Life Sciences

Salary(¥):
12 million
Responsibilities
1. Your responsibility will include (not limited to) maintaining/upgrading SCRM-AI, Chabots,
AI speaker, modelling in SAS/R/Python through the use of technology and digital
solutions
2. Interact & partner with executives and senior managers in multiple JPBU&JOBU
departments such as Sales, Marketing, Distribution/Wholesaler Management, Market
Access or Patient Advocacy
3. Identify opportunities & provide recommendations on how to leverage system resources,
reuse local or global solutions and align analytics needs across JPBU&JOBU’s
commercial functions by facilitating cross functional, cross regional discussions and forums
4. Work with a team of business analysts & data stewards to elicit business requirements
which later are built into dashboards and transformed to digital solutions for consumption
by multiple layers in the organization (from senior leadership to junior medical
representative)
5. Partner with JPBU&JOBU’s relevant functions to support them in their data purchases to
ensure consistency and availability of relevant data
6. Aligns global Analytics & Insights technology roadmap with JPBU&JOBU’s Commercial’s
needs
7. Responsible, together with your team, for the Analytics & Insights workstreams within the
Commercial IT Program in Japan
8. Develop new descriptive, prescriptive and predictive BI reports
9. Accountable to decommission legacy Analytics &Insights platforms
10 Support our business by giving your expert advice.

労働時間・賃金の詳細、試用期間の有無、加入保険等の詳細は求職者と面接の際に明示予定

Requirements
 1. Strong background in Statistics and Mathematics
2. Experience with applying Artificial Intelligence/Machine Learning
Techniques/Technologies
3. Deep understanding of Predictive analytics
4. Experience of SQL, Hadoop, R and Python (NumPy, Pandas, and scikit-learn),
Tensorflow, Scala
5. Experience with various BI tools like Microstrategy, Qlikview, Tableau, Alteryx is a plus
6. Knowledge of IoT, RPA or other data driven technologies is a plus
7. Fluent Japanese & ability to read and write basic English is required