Data Scientist
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
- 6+ years of demonstrated experience in an Analytics and Strategy role.
- Strong business acumen and the ability to think strategically and operationally.
- Be a self-starter, driven, accountable and a high-energy team player.
- Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
- Demonstrated ability to influence without authority.
- Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
- Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
- Knowledge of and experience in leveraging Applied Statistical/ML techniques.
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Hybrid role - On-site Tur/Wed/Thu
- 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Track record of leading organization-wide strategic initiatives or transformative analytics projects.
- Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
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