AI Data Science Professional
3 days ago
At the intersection of data and machine learning, we are building intelligent systems that help ventures scale faster and more efficiently.
We're seeking a seasoned professional to work at the forefront of product development. If you thrive on experimentation and love turning messy data into actionable insights, we'd love to meet you.
Key Responsibilities:- Develop innovative machine learning models and data-driven features including recommendation systems, natural language processing (NLP), and predictive analytics.
- Collect, clean, and analyze structured + unstructured data to uncover valuable insights and inform strategic decisions.
- Rapidly test hypotheses in notebooks, then collaborate with engineers to productionize models using MLOps practices.
- Design experiments (A/B tests, evaluation pipelines), define success metrics, and continually improve model performance.
- Partner with cross-functional teams to ensure data and AI capabilities directly support real-world use cases.
Requirements:
- 2–6 years of experience as a Data Scientist / ML Engineer; startup or product environment a plus.
- Strong programming skills in Python; comfort with libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
- Experience with data pipelines and storage (SQL, NoSQL, or vector databases).
- Understanding of retrieval-augmented generation (RAG) and generative AI techniques is a plus.
- Familiarity with MLOps, model deployment, and monitoring.
- Strong analytical and communication skills—able to turn data into actionable insights.
Why work with us?
- Build real-world AI products used across multiple ventures.
- Work in a fast-moving, collaborative, high-trust environment.
- Collaborate directly with founders, engineers, and creators.
- Help shape the future of applied AI.
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