Position Summary

Basic Qualifications

• Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field.  
• 3+ years of data science work experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization in the following areas: 
• Hands-on work experience with open-source data analytics toolsets such as R, Python, etc. 
• Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.  
• Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc. 
• Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.). 
• A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains.
• Strong communications skills in English and ability to work with global stakeholders effectively. 

Preferred qualifications

• Experience in the specialty chemicals sector or similar industry 
• Background in engineering, especially Chemical Engineering or Chemistry 
• An aptitude to learn new digital tools and technologies. 
• Experience working with global stakeholders. 
• Knowledge in quantitative modeling tools and statistical analysis. 
• Background and exposure to Internet of Things applications, Software. 

Personality Traits

• Pleasant personality and collaborates easily with others. 
• Aims high and brings a sense of urgency and ownership to all tasks. 
• A life-long learner who constantly updates skills through online learning and other means. 
• A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions.  
• Ability to collaborate effectively with multi-disciplinary and passionate team members. 
• Strong planning and organization skills, with the ability to manage multiple complex projects.