Data Scientist (Retail)

• Design methodologies to estimate business value and 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

• Run experiments to assess model's results, analyze project's key metrics and develop impact measurement framework

• Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach. Build new and creative analytics products with the aim of optimizing the user experience and business operations

• Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions

• Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members

• Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives

• Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner

• Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects

• Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation

• Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals

• Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit

• Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required

• Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions

• Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit

• Support on the development and implementation of relevant policies and procedures

• Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management

• Provide mentorship for the purpose of developing a continuous talent pipeline for key roles

• Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements

• Develop and implement on the job-training for the team

• Provide inputs for the development of annual manpower plan

• Ensure the implementation of MAF Retail's corporate policies and relevant procedures

• Design methodologies to estimate business value and 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

• Run experiments to assess model's results, analyze project's key metrics and develop impact measurement framework

• Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach. Build new and creative analytics products with the aim of optimizing the user experience and business operations

• Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions

• Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members

• Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives

• Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner

• Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects

• Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation

• Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals

• Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit

• Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required

• Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions

• Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit

• Support on the development and implementation of relevant policies and procedures

• Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management

• Provide mentorship for the purpose of developing a continuous talent pipeline for key roles

• Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements

• Develop and implement on the job-training for the team

• Provide inputs for the development of annual manpower plan

• Bachelor's Degree in an IT-related field or Computer Engineering

• Master's Degree in a similar field is preferred

• 5-7 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

• 2+ years in the retail business is preferred

• 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, BO

• Advanced experience in Azure, Spark, and git-Basic as well as understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.)

• 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)

• Fuel

Antal International