Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
About the role
- Manager/Sr Manager in Data Science role at analytics firm solving business problems. Leading teams and delivering robust analytical solutions for Fortune 500 companies.
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.
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