Data Science Analyst

Functie

#Ownership
Data Science Analyst

The Purpose (of the role):

As a Consumer Data Scientist you will join our Commercial Analytics Data Science team and help us build capabilities that will propel ABInBev Zone Europe to the top of FMCG landscape in terms of the analytical maturity. We are still a relatively small team, but with an irrational ambition to: embed the test-and-learn paradigm into our company’s decision making processes like Amazon; provide relevant recommendations to our clients like Netflix; and understand our end-consumers like Facebook. We offer a unique opportunity to join us in the middle of our journey and to work on challenging problems within a truly meritocratic culture where excellence is fully recognized and generously compensated. This role will support both BEES and Ta Da digital platforms.

At AB InBev, dreaming big is what we do. Brewing the world’s most loved beers, building iconic brands like Bud, Stella Artois, Hoegaarden, Tripel Karmeliet, Leffe and crafting meaningful moments are what inspire us.

We’re a team of passionate owners who aren’t afraid to dream big because we know that together, we can achieve anything. To build a more sustainable, inclusive and rewarding future. Turning any challenge into an opportunity. So let’s take on the challenge together. Cheers to dreaming big!

The role:

  • PREDICTION MODELLING & MEASUREMENT – Working with our Global Analytics Centers to further update, scale and deploy these capabilities in support to increase commercial KPIs
  • MODEL MAINTENANCE – working to maintain and update data pipelines, model health and performance across multiple models across multiple markets
  • LIVE TESTING - Extend the capabilities of our test-and-lean platform and support our internal clients in designing and executing experiments in the market.
  • ONLINE PROMOTION ENGINE – Optimize the promotion calendar, execution mechanics and the level of personalization to increase conversion and enhance customer lifetime value.
  • Work with the rest of the Data Science team on constant improvement of tools and methodology..

What you can expect from us:

In this role, you’ll have the potential to transform our business and your career. You’ll get the support and mentor you need to succeed. We’re a meritocracy, with plenty of room for growth and development, so you know your hard work will be rewarded. We encourage you to think big and go after your goals. You’ll get to be creative, work with international teams so you can build a global network and have direct control over your career and where it takes you.

We are building a team that’s more supportive, more inclusive and more collaborative. A team that’s diverse in background, skills and experience.

So if you dream big but are concerned you’re not a perfect fit against the job description, we’d still encourage you to apply. You may just the right candidate to help us create a future with more cheers.

As the leading global brewer, we are committed to bringing people together for a better – and more equal – world. A more equal world starts when everyone can thrive. At AB InBev we value the diversity of cultures, perspectives, skills and experiences within our workforce, and we strongly encourage women, people of colour, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

Jouw profiel

Who we’re looking for:

  • Academic degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics…). Candidates with other backgrounds will be considered too provided that they can demonstrate relevant quantitative skills and experience.
  • At least 3 years of relevant working experience as a Data Scientist or in a closely related role.
  • Good programming skills in Python and/or R, including common Data Science toolkits & packages
  • Excellent command of techniques used in each stage of Data Science workflow : ETL, EDA, feature engineering, modelling, evaluation of learning algorithms
  • Profound understanding of Machine Learning algorithms for classification & regression
  • Good understanding of Descriptive and Inferential Statistics
  • Excellent Communication skills and good knowledge of Data Visualization concepts and techniques
  • English language proficiency
  • Toegangsrechten bepalen en opvolgen naargelang de karakteristieken van de gebruikers of de diensten
  • De informatica-infrastructuur selecteren of installeren (software, hardware, ...)
  • Storingen, incidenten en onregelmatigheden identificeren
    Een diagnose stellen en corrigerende maatregelen toepassen
  • De technische, economische, … informatie en de reglementering opvolgen en actualiseren
  • Onderhoudsinterventies op gebruikersinfrastructuur van op afstand uitvoeren
  • Technische beheerprocedures, gebruiks- en veiligheidsprocedures van de informatica infrastructuur opstellen
  • Toekennen en ter beschikking stellen van software en netwerkinfrastructuur (toewijzing, nieuwe toewijzing)
  • De configuratie en architectuur van de informatiesystemen opvolgen en bijwerken naargelang de ontwikkelingen
  • Prestaties van het informatiesysteem analyseren
    Maatregelen voorstellen voor de verbetering van de kwaliteit, de veiligheid en de productiviteit
  • Scripts opstellen of integreren
  • Ontwikkelingsteams, informaticaproductieteams of gebruikers adviseren en bijstaan bij de keuze en toepassing van technische oplossingen

Aanbod

Next to our competitive base salary, we put our people first by providing on-top benefits:

  • Competitive Bonus
  • A Flexible Rewards system - (smartphone, bike lease, internet at home, Extra pension Plan, etc.)
  • Quarterly vouchers to taste our delicious beers
  • Compensation & seniority days in addition to legal holidays (40 Days total)
  • Meal vouchers, allowances, gift per company policy
  • A unique Parental leave
  • Competitive Life insurance, disability & medical plan
  • Learning & Development opportunities (LinkedIn Learning/ Workday Learning/Mentoring)
  • Multiple Physical & Mental Wellbeing support Initiatives

Solliciteren

Resourcing Support
0000
ResourcingSupport@ab-inbev.com