Key Responsibilities

• Translate unstructured business questions into quantitative problemsItem 2 of 10, Provide advanced analytics support including machine learning, big data, and statistical modeling across multiple functional areas
• Provide advanced analytics support including machine learning, big data, and statistical modeling across multiple functional areasItem 3 of 10, Advise on appropriate analytical models based on available data, technology, and platform
• Advise on appropriate analytical models based on available data, technology, and platformItem 4 of 10, Collaborate with stakeholders and partners to implement solutions
• Collaborate with stakeholders and partners to implement solutionsItem 5 of 10, Evaluate machine learning algorithms and models, providing technical recommendations for decision making
• Evaluate machine learning algorithms and models, providing technical recommendations for decision makingItem 6 of 10, Prototype and optimize advanced analytics and machine learning solutions iteratively
• Prototype and optimize advanced analytics and machine learning solutions iterativelyItem 7 of 10, Monitor data science product performance and initiate corrective actions when needed
• Monitor data science product performance and initiate corrective actions when neededItem 8 of 10, Partner with IT to productionalize machine learning models
• Partner with IT to productionalize machine learning modelsItem 9 of 10, Anticipate needs and lead implementation of new capabilities, technologies, and partnerships
• Anticipate needs and lead implementation of new capabilities, technologies, and partnershipsItem 10 of 10, Drive knowledge sharing and foster a data-driven culture across the organization
• Drive knowledge sharing and foster a data-driven culture across the organization
• 
  

Requirements

• Master’s degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline 
• At least 5 years of experience in data science with a proven track record of delivering measurable business impact Item
• Strong analytical skills with the ability to recommend algorithms and methodologies for complex problem-solving 
• Proficiency in Python and AWS cloud stack is essential  
• Knowledge of Spark, R, Hive, Hadoop, SQL and data visualization tools such as QlikView or PowerBI is an advantage 
• Experience in productionalizing analytics solutions is desirable
• Solid understanding of database concepts, data modeling and business intelligence practices
• Excellent communication skills to clearly articulate ideas to stakeholders at all levels 
• Passion for AI, innovation and uncovering business value through data-driven solutions