Senior Data Scientist

Role:

Experience level:

Location:

Why 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

Industry

Team

Job Overview

Senior Data Scientist

If you love solving real-world business problems using data and turning insights into action, this is the role for you.

What You’ll Do

• Build 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 datasets
• Strong academic background – B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus
• Deep understanding of statistical models – hierarchical, stochastic, time series, survival, and econometric
• Expertise in at least one deep learning framework – PyTorch, TensorFlow, or MxNet
• Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines
• Experience 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 thinking
• Champion scalable, production-grade ML solutions
• Collaborate across teams to deliver outcomes aligned with business value
• Stay curious, keep learning, and mentor junior team members

Brownie 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 tools

Come play, build, and grow with us.

# Let’s co-create the future of AI at Crayon.