Demand Forecasting Model - BC-950

Genre de projet: Innovation
Discipline(s) souhaitée(s): Informatique, Sciences mathématiques, Mathématiques, Affaires, Sciences sociales et humaines
Entreprise: Flashana Technologies Inc.
Durée du projet: Flexible
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Vancouver, BC, Canada
Nombre de postes: 1
Niveau de scolarité désiré: MaîtriseDoctorat
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

Our business Flashana Technologies Inc. develops software products in the area of retail supply chain, specifically predictive analytics for inventory management. A poorly maintained inventory is every retailer’s worst nightmare. Not only does it lead to a loss in sales over time, but also represents a poor indicator of inadequate demand for a product. Questions like what to store, what to discard and when to do so can all be answered. No business wants to hold on to products that are not yielding any sales and every retailer wants to keep replenished stocks of items that are popular with consumers. Predictive analytics removes the need to buy and remove stocks of products on a hunch.

Veuillez décrire le projet.: 

Our technology is a demand forecasting model that aims to predict the demand of customers/consumers, of an alcoholic beverage vendor/reseller. It analyzes statistical data and looks for patterns and correlations. AI/ML Machine learning is applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail demand chain management.

In this role you will work in a team of Data Scientists for both clients, and in the development of a core application. You will generate, analyze, innovate and implement data solutions that will drive customer decisions for thousands of retail organization around the world.

Expertise ou compétences exigées: 

• Have a Masters or PhD university degree in Statistics, Mathematics, Computer Science or another quantitative field, together with 2+ years of experience manipulating data sets and building statistical models
• Experience using web services: AWS
• Experience using statistical computer languages, R, Python, SQL, Go, Scala, and other equivalent languages to query and manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.