This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Principal Data Scientist based in India.
This is a senior technical leadership role focused on shaping the future of applied machine learning and agentic AI systems at scale. You will define how advanced ML models and AI sub-agents are designed, evaluated, and deployed across the customer lifecycle to drive growth, retention, and monetization. The role operates at the intersection of architecture, hands-on modeling, and strategic influence, requiring the ability to move seamlessly from prototype to production. You will work with large-scale, high-dimensional datasets capturing real-world workflows and decision patterns over many years. Partnering closely with product and engineering leadership, you will help define technical standards, system design principles, and long-term AI strategy. This role also carries strong organizational impact, mentoring senior data scientists and raising the bar for modeling rigor and production excellence.
Accountabilities
- Define and lead the technical direction for applied ML and agentic AI systems across the customer lifecycle, including growth, retention, and monetization use cases.
- Architect scalable AI sub-agent systems, including reasoning frameworks, tool use, evaluation methods, guardrails, and production safety mechanisms.
- Establish organization-wide standards for modeling, experimentation, and evaluation, including offline metrics, online testing, and production monitoring.
- Design and deliver high-impact machine learning models and AI systems that directly influence product and business outcomes.
- Drive decisions around data foundations, feature engineering, and knowledge layers while ensuring privacy, governance, and trust.
- Partner with senior leaders across product and engineering to shape roadmap priorities and long-term AI strategy.
- Mentor and guide staff and principal-level data scientists, improving technical rigor, design quality, and execution across the team.
Requirements
- 12 plus years of experience in applied data science or machine learning, or 14 plus years of total experience, with an advanced degree in a quantitative field preferred.
- Proven track record of leading end-to-end ML initiatives from concept to production with measurable business impact.
- Deep expertise in machine learning techniques including gradient boosting, linear models, deep learning, transformer architectures, embeddings, and contextual bandits.
- Strong understanding of agentic AI systems, including multi-step reasoning, retrieval-augmented generation, tool use, and evaluation frameworks.
- Solid background in causal inference, experimentation design, and statistical methods such as A/B testing, uplift modeling, and quasi-experimental techniques.
- Experience operating large-scale ML systems in production, including pipelines, monitoring, drift detection, and retraining strategies.
- Proficiency in Python and SQL, with experience using ML and data platforms such as Spark, Databricks, Snowflake, PyTorch, or similar tools.
- Strong business understanding of SaaS metrics such as churn, retention, expansion, ARR, and cohort analysis.
- Demonstrated ability to influence senior stakeholders and mentor advanced technical talent in complex organizational environments.
- Strong ability to operate in ambiguous environments, define problems independently, and drive alignment across teams.
Benefits
- Competitive compensation aligned with senior principal-level responsibilities.
- Performance-based incentives tied to impact and delivery outcomes.
- Flexible work arrangements, including remote and hybrid options.
- Comprehensive health, wellness, and employee assistance programs.
- Learning and development support for continuous professional growth.
- Opportunity to work on large-scale AI systems with significant real-world impact.
- Inclusive and collaborative work culture supporting innovation and autonomy.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
