Global Supply Planning Data Science Manager

🔥 30 minutes ago

🌐 India, Poland – Remote

🇮🇳 India – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mondelēz International

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2012

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Mondelēz International is a global leader in the snacking industry, well-known for its iconic brands like Cadbury, Oreo, and Toblerone. The company is involved in producing and marketing a wide range of chocolate, biscuits, candy, and other snacks, which are available to consumers across the world. Mondelēz is committed to corporate governance, sustainability, and making a positive impact on communities through initiatives in diverse areas like environmental sustainability and diversity, equity, and inclusion. The company operates in various sectors, including manufacturing, marketing, and supply chain management, and has a significant presence in multiple countries.

📋 Description

• Analyze and derive value from data using mathematics, statistics, computer science, machine learning, and data visualization • Formulate and test hypotheses using mathematics, statistics, visualization, and predictive modeling • Understand business challenges and create actionable data insights • Communicate findings to business stakeholders and determine how business data can support solutions and insights • Create custom models or prototypes from trends and patterns to enable data-driven decision making • Coordinate with technical and functional teams to implement models and monitor results • Select, acquire, and integrate data for analysis • Develop hypotheses and methods, train and evaluate analytics models, share insights, and iterate with additional data • Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy • Evaluate analytics needs, assess problems, identify data sources, and apply appropriate analytical techniques • Explore and experiment with data visualization • Manage reviews of analytics techniques and tools and recommend improvements

🎯 Requirements

• Strong quantitative skillset with experience in statistics and linear algebra • Knowledge/experience with statistical programming languages including R, Python, SQL, etc. • Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, and their pros and cons • Knowledge and experience in advanced statistical techniques and concepts including regression, distribution properties, and statistical testing • Good communication skills to promote cross-team collaboration • Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. • Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, and text mining • Ability to use data visualization tools to showcase data for stakeholders • Bachelors /Master's degree • Travel might be required

🏖️ Benefits

• Travel might be required • No Relocation support available