Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking an individual with a strong combination of analytics consulting skills and a strong background in data science. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

REQUIREMENTS

• 8-10 years of Data Science experience with at least 5 years in analytics consulting.
• Experience working with large data sets is preferable (with an emphasis on business analysis problems).
• Work experience in areas such as Supply chain planning and operations, preferably from the semiconductor industry.
• Experience of working with offshore teams.
• Demonstrated technical and analytical skill set to work with analytics toolkits such as:
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• R, Python, SQL, Git, SAS, Tableau, Alteryx

• Spark, Amazon Web Services (AWS)
• Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into a high-level analytics solution approach.
• Strong project management and team management skills, and the ability to work with global teams.
• Knowledge of statistical and machine learning algorithms.
• Will have to travel to the office 5 days a week.
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.

• 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
• 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, and Operational Research techniques to develop data models
• Extract, transform and organize the data into datasets using tools like SQL
• Validate the model solutions’ results by developing testing frameworks using Hadoop, Python, and other relevant tools.
• Report the results and insights using business intelligence tools.
• Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.
• Being able to communicate with and manage expectations across stakeholders effectively.
• Excellent written and verbal communication skills, including the ability to develop and deliver a presentation.
• Familiarity with agile development methodology.