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Job Views:  
46
Applications:  26
Recruiter Actions:  0

Posted in

GenAI

Job Code

1647106

Data Scientist


Description:


About the job

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.

Youll 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 Youll 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 Youll Bring

- 2 to 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

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Job Views:  
46
Applications:  26
Recruiter Actions:  0

Posted in

GenAI

Job Code

1647106

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