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Data Scientist

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Job Description

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

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About Company

Job ID: 152037963

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