Senior Data Scientist
17 hours ago
Role: Sr Data ScientistExperience level: 5 to 7 yearsLocation: ChennaiWhy Crayon? Why now?Crayon is transforming into an AI first company, and every Crayon (that’s what we call ourselves) is undergoing a journey of upskilling and expanding their capabilities in the AI space.We're building an organization where AI is not a department—it’s a way of thinking. If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads.Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future.Experience: 5+ yearsIndustry: Banking, Financial Services, and AITeam: Data ScienceJob OverviewWe are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions – from boosting sales and cross-sell opportunities to reducing attrition and churn.If you love solving real-world business problems using data and turning insights into action, this is the role for you.What You’ll DoBuild and deploy machine learning and statistical models for key banking use cases: cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc.Work with large-scale structured and unstructured datasets to derive meaningful insights.Translate business problems into analytical solutions and guide clients through data-driven decision-making.Collaborate closely with product, engineering, and consulting teams to deliver production-ready models.Continuously monitor, tune, and improve model performance post-deployment.Mentor junior data scientists and contribute to internal knowledge sharing.Can you say “Yes, I have” to the following?5+ years of experience developing ML/AI solutions on large-scale datasetsStrong academic background – B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonusDeep understanding of statistical models – hierarchical, stochastic, time series, survival, and econometricExpertise in at least one deep learning framework – PyTorch, TensorFlow, or MxNetProficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelinesExperience contributing to open-source ML libraries or publishing research is a strong plus.Can you say “Yes, I will” to the following?Innovate with AI-first thinkingChampion scalable, production-grade ML solutionsCollaborate across teams to deliver outcomes aligned with business valueStay curious, keep learning, and mentor junior team membersBrownie points for:Alignment with The Crayon Box of Values – because while skills can be learned, values are who we are.Passion for building reusable ML components and internal toolsCome play, build, and grow with us. # Let’s co-create the future of AI at Crayon.
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