Data Scientist - 2

About the Role

We are looking for a Data Scientist who can solve high-impact consumer product challenges using a mix of deep learning, classic ML, and strong analytical thinking. You’ll work closely with Product, Engineering, and Growth teams to build intelligent models that enhance user experience, drive personalization, and unlock growth opportunities at scale.

What You’ll Do

Build, train, and optimize deep learning models (Neural Networks, CNNs, RNNs, Transformers depending on use-case)

Develop and deploy traditional ML solutions for prediction, classification, segmentation, and recommendation systems

Work with large-scale consumer datasets (behavioral, engagement, transaction, funnel-level)

Partner with cross-functional teams to translate insights into measurable product or revenue outcomes

Experiment with new modeling techniques, automate workflows, and enhance data reliability and evaluation frameworks

Own model lifecycle : problem framing → data prep → development → deployment → performance monitoring

What You’ll Bring

2–5 years of hands-on experience in Data Science in

B2C or D2C product environments

Strong expertise in

Deep Learning

frameworks (PyTorch / TensorFlow)

Solid grounding in

classic ML algorithms , feature engineering & model interpretability

Proficiency with Python, SQL, and modern data manipulation tools

Experience deploying models into production using MLOps best practices (AWS / GCP / Azure, CI / CD is a plus)

Strong understanding of statistics, experiment design (A / B testing), and evaluation methods

Ownership mindset and ability to break down ambiguous problems into scalable data solutions