Lead Data Scientist

Tiger Analytics is looking for an experienced Lead Data Scientist to join their team. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions in the CPG domain, and will lead projects and mentor teams. The role requires deep technical expertise, hands-on coding experience, and collaboration with clients and stakeholders to translate business needs into robust analytical solutions.

Requirements

• Work on the latest applications of data science to solve business problems
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
• Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally
• Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
• Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
• 8 – 13 years of professional work experience with at least 5 years in Data Science
• Ability to engage with executive/VP-level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Solid understanding of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python
• Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus
• Experience working with Retail Domain companies
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Bachelor’s in Business Analytics or equivalent work experience