Job Description

About the Role

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We are seeking an experienced Data Science Lead to define and advance the organization's machine learning, artificial intelligence, and decision intelligence capabilities. This role will lead a team of Data Scientists and partner with cross-functional stakeholders to develop scalable analytics and AI solutions that enhance customer experiences, optimize business performance, and unlock new growth opportunities.

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The ideal candidate combines deep technical expertise with strong leadership skills, bringing a track record of translating complex business challenges into impactful data products. You will play a key role in shaping the data science roadmap, establishing best practices, and building a high-performing team that delivers measurable outcomes through advanced analytics and machine learning.

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Key responsibilities

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Lead AI and Machine Learning Initiatives

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- Drive the development, deployment, and continuous improvement of machine learning, predictive analytics, and AI solutions that support strategic business objectives.
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- Identify high-impact opportunities where data science can improve decision-making, automation, operational efficiency, and customer outcomes.
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Translate Business Challenges into Scalable Solutions

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- Partner with senior leaders and cross-functional teams to understand business needs and define data-driven strategies.
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- Develop roadmaps that align technical initiatives with organizational goals and measurable business results.
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Build Advanced Customer and Behavioral Intelligence Capabilities

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- Oversee initiatives involving customer segmentation, behavioral modeling, recommendation engines, propensity analysis, forecasting, predictive scoring,



and optimization frameworks.
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- Leverage advanced analytical techniques to uncover actionable insights and drive more personalized experiences.
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Drive Model Excellence and Operationalization

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- Establish best practices across model design, validation, experimentation, monitoring, explainability, and governance.
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- Ensure machine learning solutions are scalable, reliable, and production-ready through close collaboration with engineering and platform teams.
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Foster a Data-Driven Culture

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- Promote evidence-based decision-making by integrating data science insights into business processes and strategic planning.
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- Advocate for the adoption of emerging AI technologies, analytical methodologies, and experimentation frameworks across the organization.
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Communicate Impact to Leadership

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- Present analytical findings, model performance, and strategic recommendations to executive stakeholders.
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- Clearly articulate the business value and long-term implications of AI and machine learning investments.
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Lead and Develop High-Performing Teams

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- Mentor, coach, and grow a team of Data Scientists through structured development, technical guidance, and career planning.
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- Foster a culture of collaboration, innovation, continuous learning, and engineering excellence.
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Qualifications

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- Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Engineering, Data Science, Physics, Economics, or a related quantitative discipline.
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- 7+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics, with a strong record of deploying production-grade solutions.
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- 3+ years of leadership experience managing and developing technical teams.
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- Proven expertise in predictive modeling, segmentation, recommendation systems, classification, forecasting, optimization, and other statistical or machine learning methodologies.
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- Strong understanding of experimentation, causal inference, model governance, and performance evaluation.
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- Experience collaborating with product, business, engineering, analytics, and operational stakeholders in fast-paced environments.
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- Hands-on experience delivering end-to-end machine learning solutions, from problem framing and experimentation through deployment and monitoring.
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- Strong communication skills with the ability to influence both technical and non-technical audiences.
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Nice to Have

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- Experience working with large-scale consumer platforms, digital products, subscription businesses, marketplaces, or other data-rich environments.
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- Familiarity with customer intelligence, personalization, lifecycle optimization, engagement analytics, or recommendation technologies.
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- Exposure to contemporary AI capabilities, including generative AI, large language models, or advanced decision intelligence frameworks.
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- Experience scaling data science functions, establishing operating models, and driving organizational adoption of AI-powered solutions.
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📌 Data Science Lead (Bengaluru)
🏢 Confidential Jobs
📍 Bengaluru