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.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.
Manager of Marketing & Student Recruitment directing recruitment strategies for graduate programs. Collaborating with faculty and prospective students while leveraging marketing strategies.
Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
Senior Specialist developing data - driven insights and strategies for commercial success at Merck's Ophthalmology team. Engaging with stakeholders to produce actionable analysis rooted in diverse data sources.
Associate Director driving data - driven insights for US marketing teams at healthcare leader. Collaborating on analytics strategies to support commercial objectives in ophthalmology.
Data Scientist focusing on supporting Canadian business units with advanced analytics at Sun Life. Collaborating with cross - functional teams to drive value through data science techniques.