Job Summary:
In this role, you will leverage advanced analytical techniques to explore customer behavior and identify actionable insights. You will collaborate with business leaders, translating complex data into compelling narratives to drive strategic decision-making. Your work will involve developing data-driven solutions to address key business challenges and inform future product development.

Key Responsibilities:

• Analyze customer data to extract meaningful trends and behavioral patterns.
• Communicate data insights effectively to stakeholders to influence strategy.
• Propose new data science projects aligned with business objectives.
• Develop and deploy models to solve significant business problems.
• Design and recommend experiments to validate analytical findings.

Must-Have Skills:

• Proven experience in quantitative analysis and statistical modeling.
• Strong ability to communicate data insights to diverse audiences.
• Proficiency in data manipulation and querying using SQL or similar.

Experience in the SaaS or subscription business model environment is preferred.

Key Responsibilities:

• Develop and maintain statistical forecasting models for treasury funding.
• Enhance forecast accuracy for sensitive cash flow areas.
• Integrate financial planning signals and external factors into models.
• Perform post-production diagnostics to explain forecast deviations.
• Translate model insights for non-technical finance partners.

Must-Have Skills:

• Proficiency in SQL and Python programming.
• Experience building and maintaining production forecasting models.
• Ability to integrate external signals into forecasts.

Experience in finance, treasury, or marketplace data is strongly preferred.

Key Responsibilities:

• Architect and deploy end-to-end ML/AI systems from data to production.
• Lead development and implementation of agentic AI and simulation technologies.
• Design and build large-scale AI systems and autonomous AI agents.
• Develop frameworks for evaluating agent performance and quality.
• Deploy enterprise-level NLP solutions at scale for data analysis.

Must-Have Skills:

• Proven experience building and deploying production ML systems.
• Expertise in agentic AI development and orchestration.
• Strong proficiency in Python for data science and ML.

Experience with large-scale retail or e-commerce operations, leveraging AI and ML to solve complex business challenges, is highly preferred.

This senior role is responsible for leading the technical vision and development of next-generation AI systems at scale. You will architect and build end-to-end ML/AI solutions, including autonomous agents, and translate complex data into actionable business insights. Your expertise will drive innovation and transform operations globally.

Key Responsibilities:

• Design, build, and deploy scalable production ML systems.
• Lead development in agentic AI, reinforcement learning, and simulation.
• Architect and deploy large-scale AI systems and autonomous agents.
• Develop agent evaluation frameworks to benchmark performance.
• Implement enterprise-scale NLP pipelines for semantic similarity.

Must-Have Skills:

• Proven experience building and deploying production-grade AI systems at scale.
• Expertise in developing and orchestrating multiple AI agents.
• Ability to translate complex analytical results into clear business recommendations.

Experience in large-scale e-commerce or retail industries with a focus on leveraging AI and ML to solve complex business problems is highly preferred.