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SalaryJob Description
Minimum Qualifications/education:
· Bachelor’s Degree in Computer Engineering/related fields.
· Master’s Degree in a similar field is preferred
Minimum experience:
· 4-6 years in a senior Data Scientist role in an international environment; building advanced analytics
models/solutions/products with the ability to demonstrate value and track record
· 1+ years in the retail business is preferred
Skills:
· Advanced proficiency in various programming languages is a must, such as
R/SAS/Python/SQL/BigQuery
· Advanced knowledge of Machine Learning algorithm/modeling techniques is a must, such as
Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN,
XGboost, LightGBM, etc.
· Advanced experience in deploying machine learning models on cloud services (Azure, AWS, GC etc.)
· Advanced experience in any of the following areas is preferred: assortment optimization,
promotion optimization, price optimization, time series forecasting, segmentation, personalized
recommendation, uplift modeling etc.
· Experience in several visualization tools such as Tableau, PowerBI, Qlik
· Collaborative, pragmatic and proactive problem solver
· Proven ability to deliver initiatives from conception through to completion, sound understanding
of the analytics ecosystem and value chain from both a business and a technical standpoint
· Ability to work independently and in cross-functional teams
· Strong business communication and presentation skills with proven experience managing
executive-level communications
· Excellent organizational skills with the ability to prioritize workload
· Strong English language skills (Speaking, Reading and Writing) with exceptional business writing.
· Proficient in MS Office (Excel, Word, PowerPoint)
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