Data Scientist
Transform datasets into deployable insights.
What You'll Do
Transform datasets into deployable insights while partnering with ML engineers to harden models for production.
Your Impact
Here's what you'll be responsible for in this role
Source, clean, and balance datasets for supervised and unsupervised needs
Train and tune models, documenting assumptions and trade-offs
Collaborate on deployment plans, shadow testing, and performance tuning
Analyze post-production telemetry to recommend improvements
Share findings through dashboards, notebooks, and stakeholder demos
What We're Looking For
- 3–6 years in data science with demonstrable project outcomes
- Strong grounding in statistics, ML algorithms, and experimentation
- Hands-on with Python stack (Pandas, Scikit-learn, XGBoost, Plotly)
- Comfort working with APIs, feature stores, and CI/CD workflows
- Excellent communication and documentation skills
What We Offer
We believe in taking care of our team members
Apply for Data Scientist
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Data Scientist
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