Lead Data Scientist(CPG)- Data Science

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

• Work on the latest applications of data science to solve business problems
• Work directly with client stakeholders to translate business problems into high level analytics solution designs
• 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

Requirements:
• 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 CPG 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.

Benefits:
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.