Role Details

Designing, Testing & Implementing data models

• Design methodologies to track adoption of the developed solutions
• Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning
• Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making
• Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize models’ performance
• Lead the solution development process from proof of concept through to deployment stage

• Designing, Testing & Implementing data models

   

• Design methodologies to track adoption of the developed solutions
• Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning
• Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making
• Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize models’ performance
• Lead the solution development process from proof of concept through to deployment stage.

  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)