Data Science Lead
Guide advanced analytics squads to ship production-grade intelligence.
What You'll Do
Guide advanced analytics squads across exploration, model design, and evaluation to ship production-grade intelligence.
Your Impact
Here's what you'll be responsible for in this role
Own EDA frameworks, hypothesis design, and feature engineering guidelines
Curate high-quality datasets and evaluate data readiness for modeling
Select algorithms aligned to business latency, interpretability, and cost targets
Review experiments, statistical rigor, and validation artifacts
Coach data scientists on storytelling, reproducibility, and peer reviews
What We're Looking For
- 8+ years in applied data science with shipped models in production
- Strong Python, PySpark, TensorFlow/PyTorch, and MLflow experience
- Depth in classical ML, deep learning, and evaluation metrics
- Hands-on with experimentation stacks, A/B testing, and causal inference
- Proven leadership mentoring senior ICs and cross-domain pods
What We Offer
We believe in taking care of our team members
Apply for Data Science Lead
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Data Science Lead
Data Science
Key Skills
Application Tips
- Keep your cover letter under 600 words
- Highlight measurable achievements
- Tailor skills to match the job description
- Upload a PDF resume for best results
What happens next?
- 1Application review (3–5 days)
- 2Technical / culture screening call
- 3Final interview round
- 4Offer & onboarding