- Leverage advanced analytics, machine learning, and AI techniques to solve complex business problems, generate actionable insights, and build predictive solutions that drive business growth.

- Work closely with product, data and marketing teams to develop data science solutions, optimize customer experiences, and unlock business value through data-driven innovation.

- Translate complex business problems into scalable machine learning, AI and advanced analytics solutions that deliver measurable business value.

- Design and develop customer intelligence solutions to improve customer acquisition, engagement, retention, personalization, and lifetime value.

- Build, validate, deploy, and monitor predictive models and recommendation systems across key business use cases.

- Evaluate emerging AI, Generative AI, and machine learning technologies, identifying opportunities to accelerate innovation and improve business outcomes.

- Drive continuous improvement through automation, optimization and standardization of analytics and data science workflows.

- Design and support experimentation frameworks, including A/B testing, uplift modeling, and causal impact analysis, to enable data-driven decision-making.

- Partner with Data engineering and product teams to productionize, deploy and scale machine learning and AI solutions in production environments.

- Analyze large, complex datasets to uncover actionable insights and communicate recommendations to business stakeholders.

- Present technical concepts, analytical findings, and strategic recommendations effectively to both technical and non-technical audiences.





- Contribute to business excellence initiatives by identifying opportunities to improve operational efficiency and customer experience through data and AI.

Requirements

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.

- 5–8 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI-driven product development.

- Strong proficiency in Python and SQL, with a solid understanding of machine learning algorithms and analytical techniques.

- Proven experience building, validating, and deploying predictive and prescriptive models to solve business problems.

- Hands-on experience with Azure Databricks, cloud-based analytics platforms, and large-scale data environments.

- Strong knowledge of statistical modeling, experimentation (A/B testing), forecasting, clustering, classification, recommendation systems, and model evaluation.

- Experience with Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered automation solutions is highly desirable.

- Experience translating business problems into scalable data science solutions and collaborating with cross-functional teams to deliver measurable business impact.

- Background in Retail, Customer Analytics, Digital Analytics, E-commerce, Loyalty, or CRM analytics is preferred.

- Excellent communication, stakeholder management, and data storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.

- Robust problem-solving skills with the ability to balance technical excellence, business impact, and strategic thinking.

📌 Data Scientist (Noida)
🏢 Techcarrot Fz
📍 Noida