Staff Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Machine Learning based in India.

• Lead the end-to-end roadmap for ML and AI initiatives, from opportunity sizing and experimentation through evaluation, deployment, and measurement of business impact.
• Design and implement real-time anomaly detection models and scalable data-processing systems that identify product usage, adoption, and behavioral signals.
• Apply predictive and prescriptive modeling to business challenges such as churn, revenue forecasting, price sensitivity, marketing mix optimization, segmentation, funnel optimization, and acquisition quality.
• Develop AI agents and automated analytical workflows using LLMs, RAG, embeddings, semantic layers, and agent orchestration frameworks.
• Analyze identity and security-related signals, including unusual login patterns, MFA behavior, authentication velocity, and deviations from historical user activity.
• Build robust ML pipelines supporting both real-time and asynchronous inference, with strong validation, monitoring, and production reliability.
• Establish pragmatic standards and governance for model development, LLM evaluation, observability, security, performance, and AI service cost management.
• Translate complex technical findings into clear business recommendations, communicating trade-offs and insights effectively to senior stakeholders.
• Collaborate across functions to align stakeholders with competing priorities, create clarity in ambiguous environments, and influence strategic outcomes.
• Mentor analysts and other data professionals while developing reusable tools, frameworks, and practices that improve predictive problem-solving across the organization.
• Continuously investigate unfamiliar business domains to identify meaningful signals, features, and appropriate modeling approaches.

• 8+ years of professional experience spanning data science, analytics, applied machine learning, and/or LLM-based solutions, with a strong record of delivering business-facing outcomes.
• Advanced expertise in Python, SQL, statistical analysis, and commonly used machine learning frameworks.
• Strong experience with MLOps, including feature engineering, model deployment, inference, monitoring, and production ML pipelines.
• Hands-on experience with LLM APIs, RAG, embeddings, semantic layers, and AI-agent or orchestration frameworks.
• Demonstrated ability to develop real-time anomaly detection models and large-scale data-processing solutions.
• Experience applying predictive and prescriptive analytics to commercial problems such as churn, forecasting, pricing, marketing effectiveness, and customer acquisition.
• Understanding of identity-related threat signals and methods for detecting deviations from historical user behavior is highly valuable.
• Proven ability to design and build AI-powered analytical systems while balancing relevance, performance, reliability, and service costs.
• Strong understanding of segmentation, root cause analysis, funnel optimization, and acquisition quality scoring.
• Experience working in fast-moving, data-first organizations or startup environments where machine learning directly influences business outcomes.
• Excellent business acumen, analytical reasoning, and communication skills, with the ability to explain complex concepts and recommendations clearly.
• Comfortable working independently in ambiguous environments, taking problems from initial exploration through implementation and measurable outcomes.
• Demonstrated curiosity and strategic thinking, with the ability to move between detailed technical analysis and broader business strategy.
• Experience with modern data engineering practices, including data governance, transformation, and orchestration, is preferred.
• Familiarity with recurring-revenue B2B SaaS business models is preferred.
• Strong English communication skills, both written and verbal, are required.
• Candidates must be located in India and authorized to work in India.

• Fully remote position within India.
• Remote-first working environment designed to support distributed teams across multiple countries.
• Opportunity to work on challenging ML, LLM, AI-agent, and data analytics problems with meaningful business impact.
• Collaboration with experienced, multidisciplinary teams in a fast-paced SaaS environment.
• Opportunities to influence technical direction, build reusable AI capabilities, and contribute to strategic initiatives.
• Strong opportunities for professional growth, knowledge sharing, mentorship, and technical leadership.
• Inclusive and collaborative culture that values diverse perspectives, innovation, and individual contributions.
• Opportunity to work closely with senior leadership and influence product and business decisions.