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 valuable 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.;Utilize data science, Machine Learning, Artificial Intelligence, and Operational Research techniques 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 a hypothesis and make recommendations to a 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 the ability to develop and deliver a presentation.;Familiarity with agile development methodology.;Utilizing appropriate quality checks to ensure the results are sound.
Requirements
6-10 years of professional work experience with at least 5 years in Data Science.;Experience working with large data sets is preferable (with an emphasis on business analysis problems).;Experience of working with offshore teams.;Bachelor's degree in Mathematics, Statistics, or a related field, with experience in areas such as Supply chain planning and operations, preferably from the semiconductor industry.;Demonstrated technical and analytical skill set to work with analytics toolkits such as:;R, Python;Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into a high-level analytics solution approach.;Need expertise in data correlation analysis, price elasticity modeling and optimization.;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 the ability to develop and deliver a presentation.;Knowledge of statistical and machine learning algorithms.;Will have to travel to the office 2 days a week.