Data Scientist

What you need to know about the role:

The Global Analytics and Data Science team is seeking a Data Scientist to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus.

Meet our Team:
The Payment Analytics and ML team is responsible to find opportunities and gaps in customer experience, product flows, payment processing using statistical methods to strategize Product roadmap. This team empowers senior leadership with actionable insights for informed, data-driven decisions.

• Data Analysis and Decision Making:
  • Utilize large, complex datasets to drive improvements in Products used by SMB segment.
  • Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities.
  • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations.
• Strategic Influence: Develop and present insights and strategic recommendations to Product and Data Science leadership. Influence product direction and strategic decisions through data-driven insights.
• Collaboration and Communication: Work closely with cross-functional teams, including product development, engineering, and marketing to implement data-driven improvements. Occasionally collaborate with merchants to optimize their authorization processes. Mentor junior team members .
• Innovation and Improvement: Lead initiatives to refine existing processes and develop new approaches to business challenges. Promote a culture of continuous improvement and testing.

• 7+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions.
• Strong educational background with a Bachelor s/Master s degree in Analytics, Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative discipline.
• Expertise in SQL, Excel, and visualization tools such as Tableau or Qlikview. Proficiency in a statistical programming language like R or Python is preferred.
• Demonstrable experience with big data technologies such as Teradata, Hadoop/Hive, and BigQuery.
• Knowledge of Python, Jupyter Notebooks, and SQL.
• Exceptional communication skills to effectively articulate insights and influence cross-functional teams.
• Prior experience in performing data science to fuel insights to drive Product within a high-tech environment.

• A data-driven decision maker, passionate about solving complex problems using analytical solutions.
• A self-starter who is motivated to take initiative and thrive in a fast-paced environment.
• A fun-loving team player who brings energy and enthusiasm to the workplace.
• Comfortable with ambiguity and uncertainty in a dynamic business landscape.

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