Description Are You Ready to Make It Happen at Mondelēz International?Join our Mission to Lead the Future of Snacking. Make It With Pride.How you will contributeYou will:Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modelingUnderstand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insightsEnable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor resultsApply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional dataDevelop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracyEvaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision makingContribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvementsWhat you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:Strong quantitative skillset with experience in statistics and linear algebra.A natural inclination toward solving complex problemsKnowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from itKnowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and consKnowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.Good communication skills to promote cross-team collaborationMultilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholdersWhat you need to know about this position:Managing and delivering projects in terms of leadershipWhat extra ingredients you will bring:Programming languages including R, Python, SQL, etc., to process data and gain insights from it. Experience in Cloud platform including Databricks is a plus Education / Certifications:Masters Degree preferred. Minimum of a bachelors degreeJob specific requirements:Significant expertise in algorithm design, linear algebra, statistics, Markov decision processes etc.Hands on experience developing advanced Optimization and simulation models using LP, MILP, Dynamic programming, Combinatorial and Stochastic optimization etcExposure to Operations Research algorithm design and implementation using commercial software such as Gurobi, Cplex etcExperience working on and developing simulation models using commercial software like extendsim/any logicExperience deploying models with large-scale business impact in commercial settingDemonstrated experience in strategic and cross-functional leadership, planning and executionDeep understanding of data structures and algorithmsHighly proficient in Python, Spark, Kotlin, R or JVM ecosystemExcellent written and verbal communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narrativesWe pride ourselves on having a high performing and collaborative culture where we support your career and development. In return for your commitment, drive and enthusiasm, we offer salary starting from 1 700 € plus annual bonus payment based on your performance. The final offer will depend on the skills and previous experience of the candidate. We also offer top attractive benefits.No Relocation support availableBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.Job TypeRegularData ScienceAnalytics & Data Science