Data Science Associate
at Metyis AG
Amsterdam, Noord-Holland, Netherlands -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Nov, 2024 | Not Specified | 16 Aug, 2024 | 3 year(s) or above | Matplotlib,Economics,Finance,Pandas,Data Analysis,Statistics,Scikit Learn | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
At Adaptfy, we are looking for a Data Science Associate to join our Team in Amsterdam. Adaptfy is a strategic partnership between SHV Holdings and Metyis to establish global Data and Analytics capabilities for SHV.
WHO WE ARE
Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support the SHV Groups with advanced Data & Analytics in all areas, elevating their operations in all industries, across markets, and throughout their entire value chains.
Adaptfy is also a joint venture formed by SHV and Metyis. Metyis is an embodiment of visionary thinking in the digital world. SHV is a globally established family of companies centered around the values of integrity, trust, curiosity, passion, and inclusivity.
SHV’s history is evidence of their courage to care for people, for business performance, and for generations to come. Their success is a testament to their constant re-invention through innovation.
Adaptfy plays a pivotal role in bringing the innovation and the digital vision to life for all the SHV Groups across the world. We connect the dots for SHV, shaping the data-driven future for the whole family of companies.
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Responsibilities:
- Performing data analysis in the field of Marketing Analytics, CLM/CRM analytics, and/or Risk analytics
- Analyses conducted in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
- Communicating analyses via compelling presentations
- Solving problems, disaggregate issues, develop hypotheses, and develop actionable recommendations from data and analysis
- Preparing and facilitating workshops
- Managing stakeholders and communicating with executives
- Coaching and mentoring team members.
REQUIREMENT SUMMARY
Min:3.0Max:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
Amsterdam, Netherlands