Related skills
nlp aws sql python tensorflow📋 Description
- Apply data mining, stats and ML to deliver actionable insights.
- Collaborate with sales, marketing and product to identify opportunities and build solutions.
- Partner with business, product, and eng teams to drive impactful data decisions.
- Communicate analysis and recommendations to senior partners in verbal, visual, and written form.
- Thrive in a dynamic, rapidly evolving environment.
🎯 Requirements
- Bachelor’s in CS/engineering/math/statistics/economics; Masters preferred.
- 2+ years data science in industry.
- Strong stats and ML foundations; regression/classification, clustering.
- Experience with advanced ML techniques; supervised/unsupervised, NLP, graph, recommender, generative AI; LLM apps, prompting, RAG.
- Python and SQL; ML frameworks: scikit-learn, TensorFlow, PyTorch.
- Nice-to-have: LLM apps, software engineering practices, ML in production, A/B testing.
🎁 Benefits
- Competitive compensation and benefits.
- Equity and flexible benefits for a healthy lifestyle.
- Hybrid work model and regional location guidance.
- Geographic pay zones info for transparent compensation.
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