Job Details

Junior Data Scientist

About

Description

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

Responsibilities

Visualizing actionable insights out of large sets of diverse data using PowerBI
Developing, testing and deploying ML/AI models models using cutting-edge Data Science Algorithms
Evaluating model performance and monitor existing methodology and model accuracy
Document model design that can be used to share with business and engineering for sign-off
Analyzing the customer needs and finding the business solutions to address them using data analytics
Creating the requirements in the form of user stories with appropriate acceptance criteria
Groom the Product Backlog based on the prioritization provided by the Supply Chain Analytics Product Owner
Explores data and discovers patterns, meaningful relationships, anomalies and trends to formulate business rules
Identify soft & hard benefits of Analytics models, track and report on these to Zone & Global stakeholders
Identify opportunities for new models that solve business problems
Ensure data accuracy and consistent reporting by working with the BrewDat team to ensure all relevant data is ingested and readily available for new model development
Manage the reporting landscape to ensure reports are refreshed timeously, used as agreed with stakeholders and decommissioned when no longer needed
Ensure compliance with globally aligned service policies, procedures, standards, tools and operating plans
(As per agreed policies)
As a squad member, responsible for collaboration and embracing the change of agile ways of work, ensuring team accountability and shared responsibility

Qualifications

Relevant 3-year university degree in Logistics, Commerce, Engineering, Information Systems, Mathematics or related field
Technical Skills: PowerBI, Python, Excel, SQL, General Data Knowledge (Data Modelling, Data administration, ETL Operations)
ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem
Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud