Global Supply Planning Data Science Manager

This is a fully remote position, open to applicants in India, +1 more country.

📋 Description

• Analyze and extract value from data by utilizing mathematics, statistics, computer science, machine learning, and data visualization.

• Formulate and validate hypotheses through the application of mathematics, statistics, visualization, and predictive modeling.

• Comprehend business challenges and generate actionable insights from data.

• Present findings to business stakeholders and identify ways in which business data can inform solutions and insights.

• Develop custom models or prototypes based on trends and patterns to facilitate data-driven decision-making.

• Collaborate with technical and functional teams to deploy models and track results.

• Select, obtain, and integrate data for comprehensive analysis.

• Create hypotheses and methodologies, train and assess analytics models, share insights, and refine with additional data.

• Establish processes, techniques, and tools to evaluate and monitor model performance while ensuring data integrity.

• Assess analytics requirements, identify issues, recognize data sources, and apply suitable analytical techniques.

• Investigate and experiment with data visualization methodologies.

• Oversee evaluations of analytics techniques and tools, recommending enhancements.

⛳️ Requirements

• Strong quantitative skill set with proficiency in statistics and linear algebra.

• Familiarity/experience with statistical programming languages such as R, Python, SQL, etc.

• Understanding of machine learning techniques including decision-tree learning, clustering, artificial neural networks, along with their advantages and disadvantages.

• Knowledge and expertise in advanced statistical techniques and concepts, including regression, distribution properties, and statistical testing.

• Effective communication skills to encourage collaboration across teams.

• Proficient in multiple coding languages: Java, JavaScript, C, C++, etc.

• Experience/knowledge in statistical and data mining techniques such as random forest, GLM/regression, social network analysis, and text mining.

• Capability to utilize data visualization tools to present data effectively to stakeholders.

• Bachelor’s or Master’s degree.

• Travel may be required.

🏝️ Benefits

• Travel may be required.

• No relocation support available.