RESPONSIBILITIES:

• Work on the latest applications of data science to solve business problems
• Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
• Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
• Extract, transform and organize the data into datasets using tools like SQL.
• Ability to break down a project into specific tasks involving business analysis, data science and engineering
• Direct teams of business analysts to create data driven solutions
• Architect data analytics frameworks and solutions to solve data driven business problems
• Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models
• Experienced in building and maintaining predictive and/or prescriptive models in production at enterprise scale
• Experienced in developing and running simulation, optimization, and what-if scenario planning tools to support decision making.
• Demonstrable ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
• Consistent record of working cross functionally to develop innovative solutions using advanced analytics
• Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
• Excellent written and verbal communication skills, including ability to develop and deliver presentation
• Familiarity with agile development methodology
• Utilizing appropriate quality checks to ensure the results are sound.

Requirements

• Data Science expertise of 7-15 years working in the FMCG space, CPG domain is preferred.
• Supply chain experience at least 3 to 4 years and prior experience in areas of Demand, Supply, Shipping, Inventory Planning etc. is highly desirable
• Experience working with large data sets is preferable (with an emphasis on business analysis problems)
• Experience of working with offshore teams, solving vague business problem to data analytics solution
• Bachelor's degree in Mathematics, Statistics, or related field with experience in areas such as Supply chain planning and operations, E-commerce and store retail experience preferred.
• Demonstrated technical, and analytical skill set to work with analytics toolkit such as:
• R, Python, SQL, Git, SAS, Tableau, Alteryx
• Azure Tech Stack
• Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
• Ability to work cross-functionally to develop innovative solutions using advanced analytics
• Prior experience in synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
• Excellent written and verbal communication skills, including ability to develop and deliver presentation
• Familiarity with agile development methodology
• Strong project management and team management skills and ability to work with global teams
• Knowledge of statistical and machine learning algorithms
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus