Global Data Scientist
1 maand geleden
**Company Description** Who we are?**
JDE Peet’s is the world's leading pure-play coffee and tea company, with local roots dating back to 1753, and is headquartered in the Netherlands. We unleash the possibilities of coffee and tea in more than 100 countries with a portfolio of over 50 brands, including L’OR, Peet’s, Jacobs, Senseo, Tassimo, Douwe Egberts, OldTown, Super, Pickwick and Moccona.
**What’s it like to work at JDE Peet’s?**
We are people united by the power and possibility of tea and coffee. At JDE Peet’s, we thrive on the freedom to pursue opportunities, provoking new ideas to make an impact at scale. Our ambition is simple - JDE Peet's: unleashing the possibilities of coffee and tea.
We bring action to our intentions, following through on what was agreed, always pushing things forward. We offer our people a range of learning and development programes to support their personal growth. We’ve worked hard to build an open, collaborative environment where you can approach anyone and be heard.
At JDE Peet's, we believe it’s amazing what can happen over a cup of coffee or tea. We also believe that a diverse and inclusive culture enables us to serve every coffee and tea lover in the best possible way. No matter who you are, where you come from, how you live your life, or how you enjoy your coffee or tea, you can fulfil your ambitions and contribute to our success.
**When you grow, we grow, and coffee & tea grows.**
**UNLEASH YOUR POSSIBILITY**
**Job Description** Join Us as a Global Data Scientist in Our Coffee Solutions Division**
Step into a role where your expertise will make a real impact. As a Global Data Scientist, you’ll be part of our dynamic and diverse team, dedicated to continuous learning, growth, and development. Beyond technical skills, we’re looking for someone who can translate data insights into actionable business strategies and build strong relationships along the way. In this role, you’ll contribute to meaningful outcomes that drive success across our value chain.
**Your Key Goals and Accountabilities**:
- ** Innovative Problem-Solving**: Develop and implement data-driven solutions by analyzing large, complex datasets to tackle both current and future challenges. You’ll take a creative approach to problem-solving, simplifying complex issues and delivering feasible solutions that align with business objectives.
- ** Global Data Science Governance**: Oversee and enhance Data Science requirements and best practices across our Professional division.
- ** Community Building**: Help elevate our Data Science maturity, foster a global community, and promote the adoption of industry standards.
**Your Primary Responsibilities**:
- ** Collaborate with Stakeholders**: Partner with various business teams, providing insights and leadership on Data Science strategies to uncover opportunities for value creation.
- ** Data Strategy Development**: Guide markets on how to leverage Data Science to maximize their potential within the Professional division.
- ** Scientific Analysis and Insights**: Perform and interpret scientific analyses across different regions, turning data into actionable insights on a global scale.
- ** Data Management**: Identify relevant data sources, assess acquisition costs, and enhance data collection processes to maintain high data integrity.
- ** Effective Communication**: Present findings to both technical and non-technical audiences, ensuring clarity and buy-in from stakeholders.
- ** Continuous Learning and Innovation**: Stay current with industry trends and bring innovative Data Science practices to our team.
**Qualifications** What We’re Looking For**:
**Must-Have Qualifications**:
- ** Education**: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- ** Experience**: At least 5 years in combined IT and business roles, demonstrating strategic impact.
- ** Technical Skills**:
- Proficiency in **R** and **Python** programming.
- Experience with **SQL** and **NoSQL** database query languages.
- Strong grasp of **statistical techniques** like regression, distributions, and maximum likelihood estimators.
- Competency with **machine learning methods**, such as k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests.
- Knowledge of **Multivariable Calculus** and **Linear Algebra** for predictive analytics and optimization.
- Ability to create compelling visualizations using tools like **Power BI**.
- ** Stakeholder Engagement**: Skilled at motivating teams and collaborating effectively with others, with high autonomy.
**Nice-to-Have Qualifications**:
- ** Industry Experience**: Background in FMCG (Fast-Moving Consumer Goods).
- ** Out-of-Home Business Knowledge**: Understanding of the Professional Out-of-Home business environment.
- ** Alteryx Analytics**: Familiarity with Alteryx for advanced data processing and analytics.
- ** Business Acumen**: Strong understanding of business proce
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