
Senior Data Engineer Lead
Mondelēz International
full-time
Posted on:
Location Type: Remote
Location: Philippines
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Job Level
Tech Stack
About the role
- Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization
- Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business
- Enable 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 results
- Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
- Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
Requirements
- Approximately 10 years of professional experience in roles focused on data management, data analysis, business intelligence, or similar
- 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, etc.
- Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
- Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
- Exceptional ability to manage, cleanse, structure data effectively, even in non-traditional database environments
- Strong analytical mindset with a clear aptitude and eagerness to learn, evaluate, and strategically implement new, complex cloud-based data technologies
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysismachine learningstatisticsdata visualizationRPythonSQLJavaJavaScriptC++
Soft Skills
analytical mindsetcommunicationcollaborationproblem-solvingeagerness to learn