About the role:

As a Pricing Data Scientist, you will be a pivotal link between business objectives and data. Your role will involve translating pricing strategies and targets into a data landscape that enables value realization. To realize this objective, you will be the owner of a price-steering algorithm, which needs to be optimized on a continuous basis. This enhancement can range from refining formulas, and discovering fresh data sources, to enhancing the depth of insights in dashboards. Your main stakeholders (Global Pricing) will provide business background and give suggestions on optimization and possible improvements. You will also be cooperating with Digital for optimal data architecture & implementation.

 

Key responsibilities:

Develop and implement advanced analytics & predictive modeling tooling (in the domains of Pricing). Pro-actively perform data-analytic methods to derive insights for the stakeholders and future improvements. Maintain a visual dashboard that supports the realization of the analytics. Lead and coordinate the data requests and their implementation in the data architecture. Up-to-date and state-of-the-art Pricing Analytics model (ie Algorithm & Data infrastructure to support it). Dashboards for Sales & Pricing. Gather information needs and business updates. Align on priorities of improvement pipeline. Align on technical set-ups to strengthen the analytics landscape. Translate business requests into technical Digital actions.

 

 

About you:

Master's degree in Data Science, Statistics, Economics, or a related field. Certification in PowerBI or similar BI tools is considered a plus. Min 3 years of proven track record in a complex data environment. Strong analytical skills. Strong interpersonal skills. English business proficiency (written and spoken). Experience with data engineering (preferably on Databricks and Microsoft Azure), data wrangling, and cleaning. Experience with data architecture and management. Experience with data visualization (preferably Microsoft Power BI). Experience with Big Data & Statistics is considered a plus. Strong programming skills in languages like Python, R, and SQL (primary data manipulation/data model Setup & analysis tasks).

 

We offer:

Employment on a regular basis in the sweetest company in the world. Annual bonus based on your work results. Lunch card to be used for groceries and restaurants. Private medical care in Lux Med (basic package fully financed by BC). Fit Profit sports card co-financed by BC. PPE: we care about your future, and we save money for your retirement. Cafeteria Program as a part of Social Fund. Group life insurance. Hybrid working model: min. 8 days in the office a month. As part of our work-life balance culture, we can start work between 7 am and 10 am. Free consultation with a lawyer once a quarter. Chocolate! Yes, surprising but we have chocolate in the office, for Christmas, BC’s Birthday, and many other occasions during the year. And if chocolate is still not enough, you can join one of our theme clubs, where together with other employees we develop our passions and interests. Daily delivery of fresh fruits and veggies to the office. You can purchase our sweet products with a special discount. Relax zone in the office and plenty of options to choose from: PlayStation 5, football table, pool table, Ping-Pong, library, table games, and massage chairs. Sport @work? Sure! We have treadmills and indoor exercise bikes with a laptop station. We like to party as much as we like chocolate! We have integration budgets we can use for team events. •    Forever Chocolate and Event Team: you can join them and have a real influence on social life in BC and CSR activities.