As a Pricing Data Scientist, you will serve as a pivotal link between business objectives and data. Your role will involve translating pricing strategies and targets into a data landscape that enables the 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, 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.
Main Responsibilities
MAIN RESPONSIBILITIES & SCOPE
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Your activities are:
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Develop and implement advanced analytics & predictive modeling tooling (in the domains of Pricing)
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Pro-actively perform data-analytic methods to derive insights for the stakeholders and future improvements
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Maintain visual dashboard that supports the realization of the analytics
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Lead and coordinate the data requests and their implementation in the data architecture
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Key deliverables:
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Up to date and state-of-the-art Pricing Analytics model (ie Algorithm & Data infrastructure to support it)
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Dashboards for Sales & Pricing
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Stakeholder engagement - you will work with key stakeholders (Pricing, Finance and Digital) to
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Gather information needs and business updates
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Align on priorities of improvement pipeline
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Align on technical set-ups to strengthen the analytics landscape
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Translate business requests into technical Digital actions
Scope
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Global responsibility
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All business units (Beverages, FM, Gourmet)
Education, Language, Skills & Qualifications
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Master's degree in Data Science, Statistics, Economics, or related field.
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Certification in PowerBI or similar BI tools is considered a plus
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Min 3 year of proven track record in a complex data environment
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Strong analytical skills
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Strong interpersonal skills
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English business proficiency (written and spoken)
Additional Considerations Or Comments
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Travel requirements: 0- 10%
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Others: Willing to deviate from standard working hours to cope with global Go Live at specific moments
Section 2 - CANDIDATE PROFILE
Essential Experience & Knowledge
The ideal candidate combines some of these experiences:
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Experience with data engineering (preferably on Databricks and Microsoft Azure), data wrangling and cleaning
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Experience with data architecture and management
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Experience with data visualization (preferable Microsoft Power BI)
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Experience with Big Data & Statistics is considered a plus
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Experience in multinational and complex organizations
TECHNICAL OR FUNCTIONAL COMPETENCIES
The Ideal Candidate Combines Some Of These Experiences
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Strong programming skills in languages like Python, R, and SQL (primary data manipulation/data model Set-up & analysis tasks)
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Microsoft PowerBI (primary data model Set-up)
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Strong analytical skills
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Able to translate technical concepts to business language and vice versa
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University level degree, preferably in a data-intensive domain combined with 3 years of relevant experience
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Fluency in English.
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Experience in Pricing and/or Financial Reporting is an asset
LEADERSHIP COMPETENCIES & PERSONAL STYLE
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Translate business needs into effective solutions and processes
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Ability to decomplexify and be pragmatic
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Excellent communication skills
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Able to perform under pressure
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Self-organized, able to prioritize work.
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Team player – willing to contribute to the bigger picture
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Energetic & perseverance (the environment is very dynamic)
At Barry Callebaut, we are committed to Diversity & Inclusion. United by our strong values, we thrive on the diversity of who we are, where we come from, what we’ve experienced and how we think. We are committed to nurturing an inclusive environment where people can truly be themselves, grow to their full potential and feel they belong.
#oneBC - Diverse People, Sustainable Growth.
