Senior Applied Data Scientist, Aptos

• Strong quantitative, mathematical and analytical skills; and ability to understand statistical models (such as those used for demand forecasting)
• Effective communication and presentation skills: ability to explain complex information to technical and non-technical audiences
• Demonstrated problem-solving skills: ability to interpret data and diagnose issues using structured methods
• Self-motivation to perform in a fast-paced environment; to deliver solutions with accuracy and speed
• Experience working in relational databases (MS SQL Server, Oracle, or equivalent)
• Experience creating and using analytic scripts to perform data analysis processes (e.g. using Python, R, SQL, Alteryx etc)
• Data visualization skills (Tableau highly desired) and ability to display complex information in a simple and clear manner
• Experience applying analytics in an industry (e.g., retail, financial, logistics, etc.)
• The successful candidate will bring a balance of creative problem solving, hands-on data skills, and practical analytical skills to the organization
• Strong communication skills and experience in a related analytics role are required, and some experience working in the retail industry is desirable

Desirable

• Revionics has an immediate opening in our Science Services team for an Applied Data Scientist
• This individual will work in a fast-paced environment as part of multi-disciplinary project teams to deliver analytical services and data-driven insights to retailers
• Learn and develop a solid understanding of Revionics’ demand modelling and optimisation algorithms, and the core set of data science services which we provide to clients – and explain these to clients and colleagues
• Execute and deliver analytical services for customers, using sales data and Revionics’ AI/ML demand models. Typical outputs include data-driven recommendations for item or category level pricing strategies; or providing analysis on Store Clustering or Promotion Performance
• Perform forecast accuracy evaluations on-demand model outputs, and apply model tuning techniques to maximise model accuracy
• Assist in Value Measurement analysis to demonstrate the value of our price optimization solution for existing customers
• Help design and improve processes for automated evaluations of models on multiple datasets
• Work with our Professional Services project implementation teams, especially Price Strategy Consultants, in the delivery of data science services and sharing of analytical insight as part of client projects
• Collaborate with other members of the data science teams to help improve our modelling capability
• Develop new analytical services, leveraging our data science capability and demand models to provide solutions to retailers pricing challenges
• Use a combination of tools including SQL, Google BigQuery, Python, Tableau, Looker and in-house software