Sr.Data Scientist

Job Description 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) Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.